itk Namespace Reference

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Detailed Description

Hashtable class, used to implement the hashed associative containers itk_hash_set, itk_hash_map, itk_hash_multiset, and itk_hash_multimap.

The specification for this file format is taken from the web site http://www.mayo.edu/bir/PDF/ANALYZE75.pdf.

Author:

Hans J. Johnson The University of Iowa 2002

Classes
class	AbortCheckEvent
class	AbortEvent
class	AbsImageAdaptor
class	AbsImageFilter
	Computes the ABS(x) pixel-wise. More...
class	AbsoluteValueDifferenceImageFilter
	Implements pixel-wise the computation of absolute value difference. More...
class	AccumulateImageFilter
	Implements an accumulation of an image along a selected direction. More...
class	AcosImageAdaptor
class	AcosImageFilter
	Computes the vcl_acos(x) pixel-wise. More...
class	ActiveShapeModelCalculator
	Base class for ActiveShapeModelCalculator object. More...
class	ActiveShapeModelGradientSearchMethod
	Base class for ActiveShapeModelGradientSearchMethod object. More...
class	AdaptImageFilter
class	AdaptiveHistogramEqualizationImageFilter
class	AddImageAdaptor
	Presents an image as being composed of the vcl_log() of its pixels. More...
class	AddImageFilter
	Implements an operator for pixel-wise addition of two images. More...
class	AffineGeometryFrame
	Describes the geometry of a data object. More...
class	AmoebaOptimizer
	Wrap of the vnl_amoeba algorithm. More...
class	AnalyzeImageIO
	Class that defines how to read Analyze file format. Analyze IMAGE FILE FORMAT - As much information as I can determine from the Medical image formats web site, and the Analyze75.pdf file provided from the Mayo clinic. A special note of thanks to Dennis P. Hanson (dph@mayo.edu) for his generous contributions in getting this information correct. More...
class	AnalyzeImageIOFactory
	Create instances of AnalyzeImageIO objects using an object factory. More...
class	AndImageFilter
	Implements the AND logical operator pixel-wise between two images. More...
class	AnisotropicDiffusionFunction
class	AnisotropicDiffusionImageFilter
class	AnisotropicFourthOrderLevelSetImageFilter
	This class implements the 4th-order level set anisotropic diffusion (smoothing) PDE. More...
class	AnnulusOperator
	A NeighborhoodOperator for performing a matched filtering with an annulus (two concentric circles, spheres, hyperspheres, etc.). More...
class	AntiAliasBinaryImageFilter
class	AnyEvent
class	ApproximateSignedDistanceMapImageFilter
	Create a map of the approximate signed distance from the boundaries of a binary image. More...
class	ArchetypeSeriesFileNames
	Generate an ordered sequence of filenames. More...
class	Array
	Array class with size defined at construction time. More...
class	Array2D
	Array2D class representing a 2D array with size defined at construction time. More...
class	ArrowSpatialObject
	Representation of a Arrow based on the spatial object classes. More...
class	AsinImageAdaptor
class	AsinImageFilter
	Computes the vcl_asin(x) pixel-wise. More...
class	Atan2ImageFilter
	Computes arctangent pixel-wise from two images. More...
class	AtanImageAdaptor
class	AtanImageFilter
	Computes the vcl_atan(x) pixel-wise. More...
class	AutomaticTopologyMeshSource
	Convenience class for generating meshes. More...
class	AutoPointer
	Implements an Automatic Pointer to an object. More...
class	AutoPointerDataObjectDecorator
	Decorates any pointer to a simple object with a DataObject API using AutoPointer semantics. More...
class	AuxVarTypeDefault
class	AzimuthElevationToCartesianTransform
	Transforms from an azimuth, elevation, radius coordinate system to a Cartesian coordinate system, or vice versa. More...
class	BackwardDifferenceOperator
	Operator whose inner product with a neighborhood returns a "half" derivative at the center of the neighborhood. More...
class	BalloonForceFilter
class	BandNode
class	Barrier
	Standard barrier class implementation for synchronizing the execution of threads. More...
class	BarycentricCombination
class	BayesianClassifierImageFilter
	Performs Bayesian Classification on an image. More...
class	BayesianClassifierInitializationImageFilter
	This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter. The goal of this filter is to generate a membership image that indicates the membership of each pixel to each class. These membership images are fed as input to the bayesian classfier filter. More...
class	BilateralImageFilter
	Blurs an image while preserving edges. More...
class	BinaryBallStructuringElement
	A Neighborhood that represents a ball structuring element (ellipsoid) with binary elements. More...
class	BinaryCrossStructuringElement
	A Neighborhood that represents a cross structuring element with binary elements. More...
class	BinaryDilateImageFilter
	Fast binary dilation. More...
class	BinaryErodeImageFilter
	Fast binary erosion. More...
class	BinaryFunctorImageFilter
	Implements pixel-wise generic operation of two images. More...
class	BinaryMagnitudeImageFilter
	Implements pixel-wise the computation of square root of the sum of squares. More...
class	BinaryMask3DMeshSource
class	BinaryMaskToNarrowBandPointSetFilter
	Generate a PointSet containing the narrow band around the edges of a input binary image. More...
class	BinaryMedialNodeMetric
class	BinaryMedianImageFilter
	Applies an version of the median filter optimized for binary images. More...
class	BinaryMinMaxCurvatureFlowFunction
class	BinaryMinMaxCurvatureFlowImageFilter
	Denoise a binary image using min/max curvature flow. More...
class	BinaryMorphologyImageFilter
	Base class for fast binary dilation and erosion. More...
class	BinaryPruningImageFilter
	This filter removes "spurs" of less than a certain length in the input image. More...
class	BinaryThinningImageFilter
	This filter computes one-pixel-wide edges of the input image. More...
class	BinaryThresholdImageFilter
	Binarize an input image by thresholding. More...
class	BinaryThresholdImageFunction
	Returns true is the value of an image lies within a range of thresholds This ImageFunction returns true (or false) if the pixel value lies within (outside) a lower and upper threshold value. The threshold range can be set with the ThresholdBelow, ThresholdBetween or ThresholdAbove methods. The input image is set via method SetInputImage(). More...
class	BinaryThresholdSpatialFunction
	A spatial functions that returns if the internal spatial function is within user specified thresholds. More...
class	BinomialBlurImageFilter
	Performs a separable blur on each dimension of an image. More...
class	BioRadImageIO
	ImageIO class for reading Bio-Rad images. Bio-Rad file format are used by confocal micropscopes like MRC 1024, MRC 600 http://www.bio-rad.com/. More...
class	BioRadImageIOFactory
	Create instances of BioRadImageIO objects using an object factory. More...
class	BlackTopHatImageFilter
	Black top hat extract local minima that are larger than the structuring element. More...
class	BlobSpatialObject
	Spatial object representing a potentially amorphous object. More...
class	BloxBoundaryPointImage
	Templated n-dimensional image class used to store linked lists. More...
class	BloxBoundaryPointImageToBloxBoundaryProfileImageFilter
	Converts a BloxImage of BloxBoundaryPoints to a BloxImage of BloxBoundaryProfiles. More...
class	BloxBoundaryPointItem
	A boundary point, stored in a BloxPixel. More...
class	BloxBoundaryPointPixel
	Holds a linked list of itk::BloxBoundaryPointItem's. More...
class	BloxBoundaryPointToCoreAtomImageFilter
	Converts a gradient image to an BloxImage of BloxBoundaryPoints. More...
class	BloxBoundaryProfileImage
	N-dimensional image class which handles BloxBoundaryProfileItems. More...
class	BloxBoundaryProfileImageToBloxCoreAtomImageFilter
class	BloxBoundaryProfileItem
class	BloxBoundaryProfilePixel
class	BloxCoreAtomImage
	N-dimensional image class which handles BloxCoreAtomItems. More...
class	BloxCoreAtomItem
	A core atom object, stored in a BloxPixel. More...
class	BloxCoreAtomPixel
	Holds a linked list of itk::BloxCoreAtomItem's. More...
class	BloxImage
	Templated n-dimensional image class used to store linked lists. More...
class	BloxItem
	An entry in the BloxPixel linked list. More...
class	BloxPixel
	Holds a linked list of BloxItem's. More...
class	BluePixelAccessor
	Give access to the Blue component of a RGBPixel type. More...
class	BMPImageIO
	Read BMPImage file format. More...
class	BMPImageIOFactory
	Create instances of BMPImageIO objects using an object factory. More...
class	BoundedReciprocalImageFilter
	Computes 1/(1+x) for each pixel in the image. More...
class	BoundingBox
	Represent and compute information about bounding boxes. More...
class	BoxSpatialObject
	The class may be used to represent N-dimensional boxes. In two dimensions it is a rectangle, In three dimensions it is a cuboid... More...
class	Brains2HeaderFactory
	Create instances of Brains2Header objects using an object factory. More...
class	Brains2IPLHeaderInfo
class	Brains2MaskHeaderInfo
class	Brains2MaskImageIO
	Class that defines how to read Brains2Mask file format. More...
class	Brains2MaskImageIOFactory
	Create instances of Brains2MaskImageIO objects using an object factory. More...
class	BSplineCenteredL2ResampleImageFilterBase
class	BSplineCenteredResampleImageFilterBase
	Evaluates the Centered B-Spline interpolation of an image. Spline order may be from 0 to 5. More...
class	BSplineDecompositionImageFilter
class	BSplineDeformableTransform
	Deformable transform using a BSpline representation. More...
class	BSplineDerivativeKernelFunction
	Derivative of a BSpline kernel used for density estimation and nonparameteric regression. More...
class	BSplineDownsampleImageFilter
	Down-samples an image by a factor of 2 using B-Spline filter interpolation. More...
class	BSplineInterpolateImageFunction
	Evaluates the B-Spline interpolation of an image. Spline order may be from 0 to 5. More...
class	BSplineInterpolationWeightFunction
	Returns the weights over the support region used for B-spline interpolation/reconstruction. More...
class	BSplineKernelFunction
	BSpline kernel used for density estimation and nonparameteric regression. More...
class	BSplineL2ResampleImageFilterBase
	Uses the "Centered l2" B-Spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2. More...
class	BSplineResampleImageFilterBase
	Uses the "l2" spline pyramid implementation of B-Spline Filters to up/down sample an image by a factor of 2. More...
class	BSplineResampleImageFunction
	Resample image intensity from a BSpline coefficient image. More...
class	BSplineUpsampleImageFilter
class	ByteSwapper
	Perform machine dependent byte swapping. More...
class	CacheableScalarFunction
	function cache implementation More...
class	CannyEdgeDetectionImageFilter
class	CannySegmentationLevelSetFunction
	A refinement of the standard level-set function which computes a speed term and advection term based on pseudo-Canny edges. See CannySegmentationLevelSetImageFilter for complete information. More...
class	CannySegmentationLevelSetImageFilter
	Segments structures in images based on image features derived from pseudo-canny-edges. More...
class	CastImageFilter
	Casts input pixels to output pixel type. More...
class	CellInterface
class	CellInterfaceVisitor
class	CellInterfaceVisitorImplementation
class	CellTraitsInfo
class	CenteredAffineTransform
	Affine transformation with a specified center of rotation. More...
class	CenteredEuler3DTransform
	CenteredEuler3DTransform of a vector space (e.g. space coordinates). More...
class	CenteredRigid2DTransform
	CenteredRigid2DTransform of a vector space (e.g. space coordinates). More...
class	CenteredSimilarity2DTransform
	CenteredSimilarity2DTransform of a vector space (e.g. space coordinates). More...
class	CenteredTransformInitializer
	CenteredTransformInitializer is a helper class intended to initialize the center of rotation and the translation of Transforms having the center of rotation among their parameters. More...
class	CenteredVersorTransformInitializer
	CenteredVersorTransformInitializer is a helper class intended to initialize the center of rotation, versor, and translation of the VersorRigid3DTransform. More...
class	CentralDifferenceImageFunction
	Calculate the derivative by central differencing. More...
class	ChainCodePath
	Represent a path as a sequence of connected image index offsets. More...
class	ChainCodePath2D
	Represent a 2D path as a sequence of connected image index offsets. More...
class	ChainCodeToFourierSeriesPathFilter
	Filter that produces a Fourier series version of a chain code path. More...
class	ChangeInformationImageFilter
	Change the origin, spacing and/or region of an Image. More...
class	ChangeLabelImageFilter
	Change Sets of Labels. More...
class	CheckerBoardImageFilter
	Combines two images in a checkerboard pattern. More...
class	ChildTreeIterator
class	ClassifierBase
	Base class for classifier object. More...
class	ClosingByReconstructionImageFilter
	Closing by reconstruction of an image. More...
class	CollidingFrontsImageFilter
	Selects a region of space where two independent fronts run towards each other. More...
class	ColorTable
class	Command
	superclass for callback/observer methods More...
class	CompareHistogramImageToImageMetric
	Compares Histograms between two images to be registered to a Training Histogram. More...
class	ComplexToImaginaryImageAdaptor
class	ComplexToImaginaryImageFilter
	Computes pixel-wise the imaginary part of a complex image. More...
class	ComplexToModulusImageAdaptor
class	ComplexToModulusImageFilter
	Computes pixel-wise the Modulus of a complex image. More...
class	ComplexToPhaseImageAdaptor
class	ComplexToPhaseImageFilter
	Computes pixel-wise the modulus of a complex image. More...
class	ComplexToRealImageAdaptor
class	ComplexToRealImageFilter
	Computes pixel-wise the real(x) part of a complex image. More...
class	Compose2DCovariantVectorImageFilter
class	Compose2DVectorImageFilter
class	Compose3DCovariantVectorImageFilter
class	Compose3DVectorImageFilter
class	ComposeRGBImageFilter
class	CompositeValleyFunction
	Multiple valley shaped curve function. More...
class	ConditionalConstIterator
	ConditionalConstIterator is a base class for other iterators where membership in the set of output pixels is "conditional" upon some property, calculation, etc. For example, a threshold iterator might walk a region and return only those pixels which meet a minimum intensity condition. More...
class	ConditionVariable
	A thread synchronization object used to suspend execution until some condition on shared data is met. More...
class	ConfidenceConnectedImageFilter
class	ConicShellInteriorExteriorSpatialFunction
	Spatial function implementation of a conic shell. More...
class	ConjugateGradientOptimizer
	Wrap of the vnl_conjugate_gradient. More...
class	ConnectedComponentFunctorImageFilter
	A generic connected components filter that labels the objects in an artibitrary image. More...
class	ConnectedComponentImageFilter
	Label the objects in a binary image. More...
class	ConnectedRegionsMeshFilter
	Extract portions of a mesh that are connected at vertices. More...
class	ConnectedThresholdImageFilter
	Label pixels that are connected to a seed and lie within a range of values. More...
class	ConstantBoundaryCondition
	This boundary condition returns a constant value for out-of-bounds image pixels. More...
class	ConstantPadImageFilter
	Increase the image size by padding with a constant value. More...
class	ConstNeighborhoodIterator
	Const version of NeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image. More...
class	ConstrainedValueAdditionImageFilter
	Implements pixel-wise the computation of constrained value addition. More...
class	ConstrainedValueDifferenceImageFilter
	Implements pixel-wise the computation of constrained value difference. More...
class	ConstShapedNeighborhoodIterator
	Const version of ShapedNeighborhoodIterator, defining iteration of a local N-dimensional neighborhood of pixels across an itk::Image. More...
class	ConstSliceIterator
	A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[]. More...
class	ConstSparseFieldLayerIterator
class	ContinuousIndex
	A templated class holding a point in n-Dimensional image space. More...
class	ContourDirectedMeanDistanceImageFilter
	Computes the directed Mean distance between the boundaries of non-zero pixel regions of two images. More...
class	ContourMeanDistanceImageFilter
	Computes the Mean distance between the boundaries of non-zero regions of two images. More...
class	ContourSpatialObject
	Representation of a Contour based on the spatial object classes. More...
class	ContourSpatialObjectPoint
	Point used for a Contour definition. More...
class	ConvertPixelBuffer
	Class to convert blocks of data from one type to another. More...
class	CoreAtomImageToDistanceMatrixProcess
	Computes the distance between all medial nodes (voted core atoms) in a core atom image (input) and stores them in a matrix data object (output). More...
class	CoreAtomImageToUnaryCorrespondenceMatrixProcess
class	CorrelationCoefficientHistogramImageToImageMetric
	Computes correlation coefficient similarity measure between two images to be registered. More...
class	CorrespondenceDataStructure
	A data structure designed to contain medial node clique correspondence data between two images. More...
class	CorrespondenceDataStructureIterator
	An iterator designed to easily traverse an itkCorrespondenceDataStructure. More...
class	CorrespondingList
	Part of the itkCorrespondenceDataStructure. More...
class	CorrespondingMedialNodeClique
	CorrespondingMedialNodeClique is an item stored in CorrespondingNodeList. Specifically it is stored in corresponding node lists and contain pointers to a set of medial nodes (cliques). More...
class	CosImageAdaptor
class	CosImageFilter
	Computes the vcl_cos(x) pixel-wise. More...
class	CostFunction
	Base class for cost functions intended to be used with Optimizers. More...
class	CovarianceImageFunction
	Calculate the covariance matrix in the neighborhood of a pixel in a Vector image. More...
class	CovariantVector
	A templated class holding a n-Dimensional covariant vector. More...
class	CreateObjectFunction
class	CreateObjectFunctionBase
	Define API for object creation callback functions. More...
class	CropImageFilter
	Decrease the image size by cropping the image by an itk::Size at both the upper and lower bounds of the largest possible region. More...
class	CStyleCommand
class	CumulativeGaussianCostFunction
	Cost function for the Cumulative Gaussian Optimizer. More...
class	CumulativeGaussianOptimizer
	This is an optimizer specific to estimating the parameters of Cumulative Gaussian sampled data. More...
class	CurvatureAnisotropicDiffusionImageFilter
class	CurvatureFlowFunction
	This class encapsulate the finite difference equation which drives a curvature flow denoising algorithm. More...
class	CurvatureFlowImageFilter
	Denoise an image using curvature driven flow. More...
class	CurvatureNDAnisotropicDiffusionFunction
class	CurvesLevelSetFunction
	This function is used in CurvesLevelSetImageFilter to segment structures in images based on user supplied edge potential map. More...
class	CurvesLevelSetImageFilter
	Segments structures in images based on user supplied edge potential map. More...
class	CylinderSpatialObject
	This class describe a cylinder in 3D only. More...
class	DanielssonDistanceMapImageFilter
class	DataObject
class	DataObjectDecorator
	Decorates any subclass of itkObject with a DataObject API. More...
class	DataObjectError
	Exception object for DataObject exceptions. More...
class	DecisionRuleBase
	Base class that allows the setting of usage of differnt decision rules used in classification This class has the pure virtual function, Evaluate(). Therefore, any subclass should implement the function to be instantiated. More...
class	DefaultConvertPixelTraits
	Traits class used to by ConvertPixels to convert blocks of pixels. More...
class	DefaultDynamicMeshTraits
class	DefaultImageTraits
class	DefaultPixelAccessor
	Give access to partial aspects a type. More...
class	DefaultPixelAccessorFunctor
	This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor). More...
class	DefaultStaticMeshTraits
class	DefaultVectorPixelAccessor
	Give access to partial aspects of a type. More...
class	DefaultVectorPixelAccessorFunctor
	This class provides a common API for pixel accessors for Image and VectorImage. (between the DefaultVectorPixelAccessor and DefaultPixelAccessor). More...
class	DeformableMesh3DFilter
class	DeformableSimplexMesh3DBalloonForceFilter
	Additional to its superclass this model adds an balloon force component to the internal forces. More...
class	DeformableSimplexMesh3DFilter
	Three-dimensional deformable model for image segmentation. More...
class	DeformableSimplexMesh3DGradientConstraintForceFilter
class	DeformationFieldJacobianDeterminantFilter
	Computes a scalar image from a vector image (e.g., deformation field) input, where each output scalar at each pixel is the Jacobian determinant of the vector field at that location. More...
class	DeformationFieldSource
	Computes a deformation field from two sets of landmarks. More...
class	DeleteEvent
class	DemonsRegistrationFilter
	Deformably register two images using the demons algorithm. More...
class	DemonsRegistrationFunction
class	DenseFiniteDifferenceImageFilter
class	DerivativeImageFilter
	Computes the directional derivative of an image. The directional derivative at each pixel location is computed by convolution with a derivative operator of user-specified order. More...
class	DerivativeOperator
	A NeighborhoodOperator for taking an n-th order derivative at a pixel. More...
class	DicomImageIO
	Read DicomImage file format. More...
class	DICOMImageIO2
	Read DICOMImage file format. More...
class	DICOMImageIO2Factory
	Create instances of DICOMImageIO2 objects using an object factory. More...
class	DicomImageIOFactory
	Create instances of DicomImageIO objects using an object factory. More...
class	DICOMSeriesFileNames
	Generate an ordered sequence of filenames. More...
class	DifferenceImageFilter
	Implements comparison between two images. More...
class	DifferenceOfGaussiansGradientImageFilter
	Performs difference-of-gaussians gradient detection. More...
class	DiffusionTensor3D
	Represent a diffusion tensor as used in DTI images. More...
class	DiffusionTensor3DReconstructionImageFilter
	This class takes as input one or more reference image (acquired in the absence of diffusion sensitizing gradients) and 'n' diffusion weighted images and their gradient directions and computes an image of tensors. (with DiffusionTensor3D as the pixel type). Once that is done, you can apply filters on this tensor image to compute FA, ADC, RGB weighted maps etc. More...
class	DilateObjectMorphologyImageFilter
	dilation of an object in an image More...
class	DirectedHausdorffDistanceImageFilter
	Computes the directed Hausdorff distance between the set of non-zero pixels of two images. More...
class	Directory
	Portable directory/filename traversal. More...
class	DiscreteGaussianImageFilter
	Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More...
class	DivideImageFilter
	Implements an operator for pixel-wise division of two images. More...
class	DoubleThresholdImageFilter
	Binarize an input image using double thresholding. More...
class	DTITubeSpatialObject
	Representation of a tube based on the spatial object classes. More...
class	DTITubeSpatialObjectPoint
	Point used for a tube definition. More...
class	DynamicLoader
	Portable loading of dynamic libraries or dll's. More...
class	EdgePotentialImageFilter
	Computes the edge potential of an image from the image gradient. More...
class	EigenAnalysis2DImageFilter
	Computes pixel-wise the eigen values and eigen vectors of a 2D symmetrical matrix. More...
class	ElasticBodyReciprocalSplineKernelTransform
class	ElasticBodySplineKernelTransform
class	EllipseSpatialObject
class	EllipsoidInteriorExteriorSpatialFunction
class	EndEvent
class	EndPickEvent
class	EquivalencyTable
	Hash table to manage integral label equivalencies. More...
class	ErodeObjectMorphologyImageFilter
	Erosion of an object in an image. More...
class	EuclideanDistancePointMetric
	Computes the minimum distance between a moving point-set and a fixed point-set. A vector of minimum closest point distance is created for each point in the moving point-set. No correspondance is needed. For speed consideration, the point-set with the minimum number of points should be used as the moving point-set. If the number of points is high, the possibility of setting a distance map should improve the speed of the closest point computation. More...
class	Euler2DTransform
	Euler2DTransform of a vector space (e.g. space coordinates). More...
class	Euler3DTransform
	Euler3DTransform of a vector space (e.g. space coordinates). More...
class	EventObject
	Abstraction of the Events used to communicating among filters and with GUIs. More...
class	ExhaustiveOptimizer
	Optimizer that fully samples a grid on the parametric space. More...
class	ExitEvent
class	ExpandImageFilter
	Expand the size of an image by an integer factor in each dimension. More...
class	ExpImageAdaptor
class	ExpImageFilter
	Computes the vcl_exp(x) pixel-wise. More...
class	ExpNegativeImageAdaptor
class	ExpNegativeImageFilter
	Computes the function vcl_exp(-K.x) pixel-wise. More...
class	ExtensionVelocitiesImageFilter
	Extend velocities smoothly from a particular level set. More...
class	ExtractImageFilter
	Decrease the image size by cropping the image to the selected region bounds. More...
class	ExtractOrthogonalSwath2DImageFilter
	Extracts into rectangular form a "swath" image from the input image along the parametric path. More...
class	ExtrapolateImageFunction
	Base class for all image extrapolaters. More...
class	FastChamferDistanceImageFilter
	This class compute the signed (positive and negative) chamfer distance in a narrow band. More...
class	FastIncrementalBinaryDilateImageFilter
	Fast binary dilation. More...
class	FastMarchingExtensionImageFilter
	Extend auxiliary variables smoothly using Fast Marching. More...
class	FastMarchingImageFilter
	Solve an Eikonal equation using Fast Marching. More...
class	FastMarchingUpwindGradientImageFilter
	Generates the upwind gradient field of fast marching arrival times. More...
class	FastMutexLock
	Critical section locking class. More...
class	FastSymmetricForcesDemonsRegistrationFunction
class	FFTComplexConjugateToRealImageFilter
class	FFTRealToComplexConjugateImageFilter
class	FileOutputWindow
	Messages sent from the system are sent to a file. More...
class	FiniteCylinderSpatialFunction
	Function implementation of an finite cylinder. More...
class	FiniteDifferenceFunction
class	FiniteDifferenceImageFilter
class	FiniteDifferenceSparseImageFilter
	This class implements a multi-threaded base class for Image to SparseImage finite difference processes. More...
class	FiniteDifferenceSparseImageFunction
	This is the base class for function classes that can be used with filters derived from FiniteDifferenceSparseImageFilter. More...
class	FixedArray
class	FixedCenterOfRotationAffineTransform
	Affine transformation with a specified center of rotation. More...
class	FlipImageFilter
	Flips an image across user specified axes. More...
class	FloodFilledFunctionConditionalConstIterator
	Iterates over a flood-filled spatial function. More...
class	FloodFilledImageFunctionConditionalConstIterator
	Iterates over a flood-filled image function. More...
class	FloodFilledImageFunctionConditionalIterator
	Iterates over a flood-filled image function. More...
class	FloodFilledSpatialFunctionConditionalConstIterator
	Iterates over a flood-filled spatial function. More...
class	FloodFilledSpatialFunctionConditionalIterator
	Iterates over a flood-filled spatial function. More...
class	ForwardDifferenceOperator
	Operator whose inner product with a neighborhood returns a "half" derivative at the center of the neighborhood. More...
class	FourierSeriesPath
	Represent a closed path through ND Space by its frequency components. More...
class	FRPROptimizer
	Implements Fletch-Reeves & Polak-Ribiere optimization using dBrent line search - adapted from Numerical Recipes in C (first edition). More...
class	FrustumSpatialFunction
	Spatial function implementation of a truncated pyramid. More...
class	FunctionAndGradientEvaluationIterationEvent
class	FunctionBase
	Base class for all ITK function objects. More...
class	FunctionEvaluationIterationEvent
class	GaussianBlurImageFunction
	Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...
class	GaussianDerivativeImageFunction
	Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...
class	GaussianDerivativeSpatialFunction
	N-dimensional gaussian spatial function class. More...
class	GaussianImageSource
	Generate an n-dimensional image of a Gaussian. More...
class	GaussianKernelFunction
	Gaussian kernel used for density estimation and nonparameteric regression. More...
class	GaussianOperator
	A NeighborhoodOperator whose coefficients are a one dimensional, discrete Gaussian kernel. More...
class	GaussianSpatialFunction
	N-dimensional gaussian spatial function class. More...
class	GaussianSpatialObject
	Represents a multivariate Gaussian function. More...
class	GDCMImageIO
	ImageIO class for reading and writing DICOM V3.0 and ACR/NEMA (V1.0 & V2.0) images This class is only an adaptor to the gdcm library (currently gdcm 1.2.x is used):. More...
class	GDCMImageIOFactory
	Create instances of GDCMImageIO objects using an object factory. More...
class	GDCMSeriesFileNames
	Generate a sequence of filenames from a DICOM series. More...
class	GE4ImageIO
	Class that defines how to read GE4 file format. More...
class	GE4ImageIOFactory
	Create instances of GE4ImageIO objects using an object factory. More...
class	GE5ImageIO
	Class that defines how to read GE5 file format. More...
class	GE5ImageIOFactory
	Create instances of GE5ImageIO objects using an object factory. More...
class	GEAdwImageIO
	Class that defines how to read GEAdw file format. More...
class	GEAdwImageIOFactory
	Create instances of GEAdwImageIO objects using an object factory. More...
class	GeodesicActiveContourLevelSetFunction
	This function is used in GeodesicActiveContourLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map. More...
class	GeodesicActiveContourLevelSetImageFilter
	Segments structures in images based on a user supplied edge potential map. More...
class	GeodesicActiveContourShapePriorLevelSetFunction
	This function is used in GeodesicActiveContourShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model. More...
class	GeodesicActiveContourShapePriorLevelSetImageFilter
	Segments structures in an image based on a user supplied edge potential map and user supplied shape model. More...
class	GetAverageSliceImageFilter
	Averages a single dimension of an image. More...
struct	GetDimension
struct	GetImageDimension
struct	GetMeshDimension
struct	GetPointSetDimension
struct	GetVectorDimension
class	GiplImageIO
	Read GiplImage file format. More...
class	GiplImageIOFactory
	Create instances of GiplImageIO objects using an object factory. More...
class	GradientAnisotropicDiffusionImageFilter
class	GradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	GradientDifferenceImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	GradientEvaluationIterationEvent
class	GradientImageFilter
	Computes the gradient of an image using directional derivatives. More...
class	GradientImageToBloxBoundaryPointImageFilter
	Converts a gradient image to an BloxImage of BloxBoundaryPoints. More...
class	GradientMagnitudeImageFilter
	Computes the gradient magnitude of an image region at each pixel. More...
class	GradientMagnitudeRecursiveGaussianImageFilter
	Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian. More...
class	GradientNDAnisotropicDiffusionFunction
class	GradientRecursiveGaussianImageFilter
	Computes the gradient of an image by convolution with the first derivative of a Gaussian. More...
class	GradientToMagnitudeImageFilter
	Take an image of vectors as input and produce an image with the magnitude of those vectors. More...
class	GradientVectorFlowImageFilter
	This class computes a diffusion of the gradient vectors for graylevel or binary edge map derive from the image. It enlarges the capture range of the gradient force and make external force derived from the gradient work effectively in the framework of deformable model. More...
class	GrayscaleConnectedClosingImageFilter
	Enhance pixels associated with a dark object (identified by a seed pixel) where the dark object is surrounded by a brigher object. More...
class	GrayscaleConnectedOpeningImageFilter
	Enhance pixels associated with a bright object (identified by a seed pixel) where the bright object is surrounded by a darker object. More...
class	GrayscaleDilateImageFilter
	gray scale dilation of an image More...
class	GrayscaleErodeImageFilter
	gray scale erosion of an image More...
class	GrayscaleFillholeImageFilter
	Remove local minima not connected to the boundary of the image. More...
class	GrayscaleFunctionDilateImageFilter
	gray scale function dilation of an image More...
class	GrayscaleFunctionErodeImageFilter
	gray scale function erosion of an image More...
class	GrayscaleGeodesicDilateImageFilter
	geodesic gray scale dilation of an image More...
class	GrayscaleGeodesicErodeImageFilter
	geodesic gray scale erosion of an image More...
class	GrayscaleGrindPeakImageFilter
	Remove local maxima not connected to the boundary of the image. More...
class	GrayscaleMorphologicalClosingImageFilter
	gray scale morphological closing of an image. More...
class	GrayscaleMorphologicalOpeningImageFilter
	gray scale morphological opening of an image. More...
class	GreenPixelAccessor
	Give access to the Green component of a RGBPixel type. More...
class	GroupSpatialObject
	Representation of a group based on the spatial object classes. More...
struct	hash
struct	hash< char * >
struct	hash< char >
struct	hash< const char * >
struct	hash< int >
struct	hash< long >
struct	hash< short >
struct	hash< signed char >
struct	hash< unsigned char >
struct	hash< unsigned int >
struct	hash< unsigned long >
struct	hash< unsigned short >
class	hash_map
	Replacement for STL hash map because some systems do not support it, or support it incorrectly. More...
class	hash_multimap
class	hash_multiset
class	hash_set
	Replacement for STL hash set because some systems do not support it, or support it incorrectly. More...
class	hashtable
class	hashtable_base
struct	hashtable_const_iterator
struct	hashtable_iterator
struct	hashtable_node
class	HausdorffDistanceImageFilter
	Computes the Hausdorff distance between the set of non-zero pixels of two images. More...
class	HConcaveImageFilter
	Identify local minima whose depth below the baseline is greater than h. More...
class	HConvexImageFilter
	Identify local maxima whose height above the baseline is greater than h. More...
class	Hessian3DToVesselnessMeasureImageFilter
	Line filter to provide a vesselness measure for tubular objects from the hessian matrix. The filter takes as input an image of hessian pixels (SymmetricSecondRankTensor pixels) and preserves pixels that have eigen values close to 0 and and as large negative values. (for bright tubular structures). More...
class	HessianRecursiveGaussianImageFilter
	Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian. More...
class	HexahedronCell
class	HexahedronCellTopology
class	HistogramAlgorithmBase
	base class for algorithms operating on histograms More...
class	HistogramImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	HistogramMatchingImageFilter
	Normalize the grayscale values between two image by histogram matching. More...
class	HistogramToEntropyImageFilter
	The class takes a histogram as an input and gives the entropy image as the output. A pixel, at position I, in the output image is given by. More...
class	HistogramToImageFilter
	This class takes a histogram as an input and returns an image of type specified by the functor. More...
class	HistogramToIntensityImageFilter
	The class takes a histogram as an input and produces an image as the output. A pixel, at position I, in the output image is given by. More...
class	HistogramToLogProbabilityImageFilter
	The class takes a histogram as an input and gives the log probability image as the output. A pixel, at position I, in the output image is given by. More...
class	HistogramToProbabilityImageFilter
	The class takes a histogram as an input and gives the probability image as the output. A pixel, at position I, in the output image is given by. More...
class	HMaximaImageFilter
	Suppress local maxima whose height above the baseline is less than h. More...
class	HMinimaImageFilter
	Suppress local minima whose depth below the baseline is less than h. More...
class	HoughTransform2DCirclesImageFilter
	Performs the Hough Transform to find circles in a 2D image. More...
class	HoughTransform2DLinesImageFilter
	Performs the Hough Transform to find 2D straight lines in a 2D image. More...
class	IdentityTransform
	Implementation of an Identity Transform. More...
class	Image
class	ImageAdaptor
	Give access to partial aspects of voxels from an Image. More...
class	ImageAndPathToImageFilter
	Base class for filters that take both a path and an image as input and produce a path as output. More...
class	ImageBase
class	ImageBoundaryCondition
	A virtual base object that defines an interface to a class of boundary condition objects for use by neighborhood iterators. More...
class	ImageClassifierBase
	Base class for ImageClassifierBase object. More...
class	ImageConstIterator
	A multi-dimensional image iterator templated over image type. More...
class	ImageConstIteratorWithIndex
	A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position. More...
class	ImageContainerInterface
class	ImageDuplicator
class	ImageFileReader
	Data source that reads image data from a single file. More...
class	ImageFileReaderException
	Base exception class for IO conflicts. More...
class	ImageFileWriter
class	ImageFileWriterException
	Base exception class for IO problems during writing. More...
class	ImageFunction
	Evaluates a function of an image at specified position. More...
class	ImageGaussianModelEstimator
	Base class for ImageGaussianModelEstimator object. More...
class	ImageHelper
	Fast Index/Offset computation. More...
class	ImageIOBase
	Abstract superclass defines image IO interface. More...
class	ImageIOFactory
	Create instances of ImageIO objects using an object factory. More...
class	ImageIORegion
	An ImageIORegion represents a structured region of data. More...
class	ImageIterator
	A multi-dimensional iterator templated over image type. More...
class	ImageIteratorWithIndex
	A base class for multi-dimensional iterators templated over image type that are designed to efficiently keep track of the iterator position. More...
class	ImageKmeansModelEstimator
	Base class for ImageKmeansModelEstimator object. More...
class	ImageLinearConstIteratorWithIndex
class	ImageLinearIteratorWithIndex
	A multi-dimensional image iterator that visits image pixels within a region in a "scan-line" order. More...
class	ImageMaskSpatialObject
	Implementation of an image mask as spatial object. More...
class	ImageModelEstimatorBase
	Base class for model estimation from images used for classification. More...
class	ImageMomentsCalculator
	Compute moments of an n-dimensional image. More...
class	ImagePCADecompositionCalculator
	Decomposes an image into directions along basis components. More...
class	ImagePCAShapeModelEstimator
	Base class for ImagePCAShapeModelEstimator object. More...
class	ImageRandomConstIteratorWithIndex
class	ImageRandomIteratorWithIndex
	A multi-dimensional image iterator that visits a random set of pixels within an image region. More...
class	ImageRandomNonRepeatingConstIteratorWithIndex
class	ImageRandomNonRepeatingIteratorWithIndex
	A multi-dimensional image iterator that visits image pixels within a region in a random order, without repeating. More...
class	ImageRegion
	An image region represents a structured region of data. More...
class	ImageRegionConstIterator
class	ImageRegionConstIteratorWithIndex
class	ImageRegionExclusionConstIteratorWithIndex
class	ImageRegionExclusionIteratorWithIndex
	Multi-dimensional image iterator that walks an image region, excluding a second region contained within the first. More...
class	ImageRegionIterator
class	ImageRegionIteratorWithIndex
	A multi-dimensional iterator templated over image type that walks pixels within a region and is specialized to keep track of its image index location. More...
class	ImageRegionMultidimensionalSplitter
	Divide a region into several pieces. More...
class	ImageRegionReverseConstIterator
	A multi-dimensional image iterator designed to walk a specified image region in reverse. More...
class	ImageRegionReverseIterator
	Multi-dimensional image iterator which only walks a region. More...
class	ImageRegionSplitter
	Divide a region into several pieces. More...
class	ImageRegistrationMethod
	Base class for Image Registration Methods. More...
class	ImageReverseConstIterator
	Multi-dimensional image iterator. More...
class	ImageReverseIterator
	A multi-dimensional image iterator designed to walk a specified region in reverse. More...
class	ImageSeriesReader
	Data source that reads image data from a series of disk files. More...
class	ImageSeriesWriter
class	ImageSeriesWriterException
	Base exception class for IO problems during writing. More...
class	ImageShapeModelEstimatorBase
	Base class for statistical shape model estimation. More...
class	ImageSliceConstIteratorWithIndex
class	ImageSliceIteratorWithIndex
	A multi-dimensional image iterator that extends the ImageLinearIteratorWithIndex from iteration along lines in an image to iteration along both lines and planes (slices) within an image. A slice is defined as a 2D plane spanned by two vectors pointing along orthogonal coordinate axes. More...
class	ImageSource
	Base class for all process objects that output image data. More...
class	ImageSpatialObject
	Implementation of an image as spatial object. More...
class	ImageToImageFilter
	Base class for filters that take an image as input and produce an image as output. More...
class	ImageToImageMetric
	Computes similarity between regions of two images. More...
class	ImageToMeshFilter
class	ImageToParametricSpaceFilter
	Generate a mesh of parametric space from input images. More...
class	ImageToSpatialObjectMetric
	Computes similarity between a moving spatial obejct and an Image to be registered. More...
class	ImageToSpatialObjectRegistrationMethod
	Base class for Image Registration Methods. More...
class	ImageTransformHelper
	Fast index/physical index computation. More...
class	ImageVoxel
class	ImplicitManifoldNormalVectorFilter
	This class implements the filter for computing the normal vectors from a scalar implicit function (i.e. a levelset image) and processing them. More...
class	ImportImageContainer
class	ImportImageFilter
	Import data from a standard C array into an itk::Image. More...
class	Indent
	Control indentation during Print() invocation. More...
class	Index
class	IndexedContainerInterface
class	InitializeEvent
class	InOrderTreeIterator
class	InPlaceImageFilter
	Base class for filters that take an image as input and overwrite that image as the output. More...
class	IntensityWindowingImageFilter
class	InteriorExteriorMeshFilter
class	InteriorExteriorSpatialFunction
	Returns whether or not a location is "inside" or "outside" a function. More...
class	InterpolateImageFilter
	Interpolate an image from two N-D images. More...
class	InterpolateImageFunction
	Base class for all image interpolaters. More...
class	InterpolateImagePointsFilter
	Resamples an image at the coordinates specified by the user. More...
class	InvalidRequestedRegionError
class	InverseDeformationFieldImageFilter
	Computes the inverse of a deformation field. More...
class	InvertIntensityImageFilter
class	IOCommon
	Centralized funtionality for IO classes. More...
class	IPLCommonImageIO
	Class that defines how to read GE4 file format. More...
class	IPLFileNameList
class	IPLFileSortInfo
class	IsoContourDistanceImageFilter
	Compute an approximate distance from an interpolated isocontour to the close grid points. More...
class	IsolatedConnectedImageFilter
	Label pixels that are connected to one set of seeds but not another. More...
class	IsolatedWatershedImageFilter
	Isolate watershed basins using two seeds. More...
class	IsotropicFourthOrderLevelSetImageFilter
	This class implements the 4th-order level set isotropic diffusion (smoothing) PDE. More...
class	IterationEvent
class	IterationReporter
	Implements iterations tracking for a filter. More...
class	IterativeInverseDeformationFieldImageFilter
	Computes the inverse of a deformation field. More...
class	itkSparseFieldLayer
class	JoinImageFilter
class	JoinSeriesImageFilter
	Join N-D images into an (N+1)-D image. More...
class	JPEGImageIO
	ImageIO object for reading and writing JPEG images. More...
class	JPEGImageIOFactory
	Create instances of JPEGImageIO objects using an object factory. More...
class	KalmanLinearEstimator
	Implement a linear recursive estimator. More...
class	KappaStatisticImageToImageMetric
	Computes similarity between two binary objects to be registered. More...
class	KernelFunction
	Kernel used for density estimation and nonparameteric regression. More...
class	KernelTransform
class	KLMDynamicBorderArray
	Object maintaining a reference to a list of borders associated with a region. More...
class	KLMRegionGrowImageFilter
	Base class for a region growing object that performs energy-based region growing for multiband images. More...
class	KLMSegmentationBorder
class	KLMSegmentationRegion
	Base class for KLMSegmentationRegion object. More...
class	KullbackLeiblerCompareHistogramImageToImageMetric
	Computes the Kubler Lieblach(KL) metric between the histogram of the two images to be registered and a training histogram. More...
class	LabelStatisticsImageFilter
	Given an intensity image and a label map, compute min, max, variance and mean of the pixels associated with each label or segment. More...
class	LabelVotingImageFilter
	This filter performs pixelwise voting among an arbitrary number of input images, where each of them represents a segmentation of the same scene (i.e., image). More...
class	LandmarkBasedTransformInitializer
	LandmarkBasedTransformInitializer is a helper class intended to The class computes the transform that aligns the fixed and moving images given a set of landmarks. The class is templated over the Transform type. The transform computed gives the best fit transform that maps the fixed and moving images in a least squares sense. The indices are taken to correspond, so point 1 in the first set will get mapped close to point 1 in the second set, etc. An equal number of fixed and moving landmarks need to be specified using SetFixedLandmarks() SetMovingLandmarks(). Any number of landmarks may be specified. Call InitializeTransform() to initialize the transform. More...
class	LandmarkSpatialObject
	Representation of a Landmark based on the spatial object classes. More...
class	LaplacianImageFilter
class	LaplacianOperator
class	LaplacianRecursiveGaussianImageFilter
	Computes the Laplacian of an image by convolution with the second derivative of a Gaussian. More...
class	LaplacianSegmentationLevelSetFunction
class	LaplacianSegmentationLevelSetImageFilter
	Segments structures in images based on a second derivative image features. More...
class	LaplacianSharpeningImageFilter
class	LBFGSBOptimizer
	Limited memory Broyden Fletcher Goldfarb Shannon minimization with simple bounds. More...
class	LBFGSOptimizer
	Wrap of the vnl_lbfgs algorithm. More...
class	LeafTreeIterator
class	LevelOrderTreeIterator
class	LevelSetFunction
	The LevelSetFunction class is a generic function object which can be used to create a level set method filter when combined with an appropriate finite difference image filter. (See FiniteDifferenceImageFilter.). More...
class	LevelSetFunctionWithRefitTerm
	This class extends the LevelSetFunction class by adding a grow term based on a target curvature stored in a sparse image. More...
class	LevelSetMotionRegistrationFilter
	Deformably register two images using level set motion. More...
class	LevelSetMotionRegistrationFunction
class	LevelSetNeighborhoodExtractor
	Locate pixels of a particular level set. More...
class	LevelSetNode
	Represent a node in a level set. More...
class	LevelSetTypeDefault
class	LevelSetVelocityNeighborhoodExtractor
	Locate pixels of a particular level set. More...
class	LevenbergMarquardtOptimizer
	Wrap of the vnl_levenberg_marquardt algorithm. More...
class	LightObject
	Light weight base class for most itk classes. More...
class	LightProcessObject
	LightProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline. More...
class	LinearInterpolateImageFunction
	Linearly interpolate an image at specified positions. More...
class	LineCell
class	LineConstIterator
	Iterator that walks a Bresenham line through an ND image. More...
class	LineIterator
	Iterator that walks a Bresenham line through an ND image. More...
class	LineSpatialObject
	Representation of a Line based on the spatial object classes. More...
class	LineSpatialObjectPoint
	Point used for a line definition. More...
class	ListNode
class	Log10ImageAdaptor
class	Log10ImageFilter
	Computes the vcl_log10(x) pixel-wise Multithreaded. More...
class	Logger
	Class Logger is meant for logging information during a run. More...
class	LoggerBase
	Class LoggerBase is meant for logging information during a run. More...
class	LoggerManager
	Class LoggerManager is meant for centrally managing loggers. More...
class	LoggerOutput
	This class is meant for overriding itk::OutputWindow to redirect messages to itk::Logger. More...
class	LoggerThreadWrapper
	Class LoggerThreadWrapper is meant for providing logging service as a separate thread. More...
class	LogImageAdaptor
class	LogImageFilter
	Computes the vcl_log(x) pixel-wise. More...
class	LogOutput
	Class LogOutput represents an output stream. More...
class	LSMImageIO
	ImageIO class for reading LSM (Zeiss) images LSM is a line of confocal laser scanning microscopes produced by the Zeiss company LSM files are essentially extensions of the TIFF multiple image stack file format. More...
class	LSMImageIOFactory
	Create instances of LSMImageIO objects using an object factory. More...
class	MahalanobisDistanceThresholdImageFunction
	Returns true if the pixel value of a vector image has a Mahalanobis distance below the value specified by the threshold. More...
class	MapContainer
class	MaskImageFilter
	Implements an operator for pixel-wise masking of the input image with the mask. More...
class	MaskNegatedImageFilter
	Implements an operator for pixel-wise masking of the input image with the negative of a mask. More...
class	MaskNeighborhoodOperatorImageFilter
	Applies a single NeighborhoodOperator to an image, processing only those pixels that are under a mask. More...
class	MatchCardinalityImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	Matrix
	A templated class holding a M x N size Matrix This class contains a vnl_matrix_fixed in order to make all the vnl mathematical methods available. More...
class	MatrixIndexSelectionImageFilter
class	MatrixOffsetTransformBase
class	MatrixResizeableDataObject
	Allows for a vnl matrix to be a data object with the flexibility of being resizable. More...
class	MattesMutualInformationImageToImageMetric
	Computes the mutual information between two images to be registered using the method of Mattes et al. More...
class	MaximumDecisionRule
	A Decision rule that choose the class of which discriminant score is the largest. More...
class	MaximumImageFilter
	Implements a pixel-wise operator Max(a,b) between two images. More...
class	MaximumRatioDecisionRule
	This rule returns if for all , where the is the index of a class which has membership function and its prior value (usually, the a priori probability or the size of a class) is . More...
class	MeanImageFilter
	Applies an averaging filter to an image. More...
class	MeanImageFunction
	Calculate the mean value in the neighborhood of a pixel. More...
class	MeanReciprocalSquareDifferenceImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	MeanReciprocalSquareDifferencePointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values in an image. More...
class	MeanSquareRegistrationFunction
class	MeanSquaresHistogramImageToImageMetric
	Computes mean squared difference similarity measure between two images to be registered. More...
class	MeanSquaresImageToImageMetric
	Computes similarity between two objects to be registered. More...
class	MeanSquaresPointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	MeasurementVectorTraits
class	MedialNodePairCorrespondenceProcess
	This process takes as inputs two core atom images, the distance matrices of the two images, and the unary correspondence matrix between the two images in order to produce an itkCorrespondenceDataStructure containing correspondences between pairs (node cliques of size 2) in the images. More...
class	MedialNodeTripletCorrespondenceProcess
	This process takes as inputs two core atom images, a pair correspondence data structure for the two images, and the distance matrices of the two images in order to produce an itkCorrespondenceDataStructure containing correspondences between triplets (node cliques of size 3) in the images. More...
class	MedianImageFilter
	Applies a median filter to an image. More...
class	MedianImageFunction
	Calculate the median value in the neighborhood of a pixel. More...
class	MemberCommand
class	Mesh
class	MeshRegion
	A mesh region represents an unstructured region of data. More...
class	MeshSource
	Base class for all process objects that output mesh data. More...
class	MeshSpatialObject
	Implementation of an Mesh as spatial object. More...
class	MeshToMeshFilter
class	MetaArrowConverter
class	MetaBlobConverter
class	MetaContourConverter
class	MetaDataDictionary
class	MetaDataObject
class	MetaDataObjectBase
	The MetaDataObjectBase class is designed as the common interface for MetaDataObject's. This class is intended as the value part of the (key,value) pair to be stored in a MetaDataDictionary. More...
class	MetaDTITubeConverter
class	MetaEllipseConverter
class	MetaEvent
class	MetaGaussianConverter
class	MetaGroupConverter
class	MetaImageConverter
class	MetaImageIO
	Read MetaImage file format. More...
class	MetaImageIOFactory
	Create instances of MetaImageIO objects using an object factory. More...
class	MetaLandmarkConverter
class	MetaLineConverter
class	MetaMeshConverter
class	MetaSceneConverter
class	MetaSurfaceConverter
class	MetaTubeConverter
class	MetaVesselTubeConverter
class	MinimumDecisionRule
	A Decision rule that choose the class that has minimum value. More...
class	MinimumImageFilter
	Implements a pixel-wise operator Min(a,b) between two images. More...
class	MinimumMaximumImageCalculator
class	MinimumMaximumImageFilter
	Computes the minimum and the maximum intensity values of an image. More...
class	MinMaxCurvatureFlowFunction
class	MinMaxCurvatureFlowImageFilter
	Denoise an image using min/max curvature flow. More...
class	MIRegistrationFunction
class	MirrorPadImageFilter
	Increase the image size by padding with replicants of the input image value. More...
class	ModifiedEvent
class	ModulusImageFilter
class	MorphologicalGradientImageFilter
	Morphological gradients enhance the variation of pixel intensity in a given neighborhood. More...
class	MorphologyImageFilter
	Base class for the morphological operations such as erosion and dialation. More...
class	MRASlabIdentifier
	identifies slab in MR images comparing minimum intensity averages More...
class	MRFImageFilter
	Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set. More...
class	MRIBiasEnergyFunction
	a cost function for optimization More...
class	MRIBiasFieldCorrectionFilter
class	MultipleLogOutput
	Class MultipleLogOutput allows writing simultaneously to multiple streams. Note that the class derives from std::streambuf and contains a std::set<> of LogOutput. More...
class	MultipleValuedCostFunction
	This class is a base for the CostFunctions returning a multiple values. More...
class	MultipleValuedNonLinearOptimizer
	This class is a base for the Optimization methods that optimize a multiple valued function. More...
class	MultipleValuedNonLinearVnlOptimizer
	This class is a base for the Optimization methods that optimize a multi-valued function. More...
class	MultipleValuedVnlCostFunctionAdaptor
	This class is an Adaptor that allows to pass itk::MultipleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class	MultiplyImageFilter
	Implements an operator for pixel-wise multiplication of two images. More...
class	MultiResolutionImageRegistrationMethod
	Base class for multi-resolution image registration methods. More...
class	MultiResolutionPDEDeformableRegistration
	Framework for perfoming multi-resolution PDE deformable registration. More...
class	MultiResolutionPyramidImageFilter
	Framework for creating images in a multi-resolution pyramid. More...
class	MultiThreader
	A class for performing multithreaded execution. More...
class	MultivariateLegendrePolynomial
	2D and 3D multivariate Legendre Polynomial More...
class	MutexLock
class	MutexLockHolder
class	MutualInformationHistogramImageToImageMetric
	Computes the mutual information between two images to be registered using the histograms of the intensities in the images. More...
class	MutualInformationImageToImageMetric
	Computes the mutual information between two images to be registered. More...
class	NarrowBand
class	NarrowBandCurvesLevelSetImageFilter
	Segments structures in images based on user supplied edge potential map. More...
class	NarrowBandImageFilterBase
	This class implements a multi-threaded finite difference image to image solver that can be applied to an arbitrary list of pixels. More...
class	NarrowBandLevelSetImageFilter
	A base class which defines the API for implementing a special class of image segmentation filters using level set methods. More...
class	NarrowBandThresholdSegmentationLevelSetImageFilter
class	NaryAddImageFilter
	Implements an operator for pixel-wise addition of two images. More...
class	NaryFunctorImageFilter
	Implements pixel-wise generic operation of Nth similar images. More...
class	NaryMaximumImageFilter
	Implements an operator computing the pixel-wise maximum of several images. More...
class	NCCRegistrationFunction
class	NearestNeighborExtrapolateImageFunction
	Nearest neighbor extrapolation of a scalar image. More...
class	NearestNeighborInterpolateImageFunction
	Nearest neighbor interpolation of a scalar image. More...
class	Neighborhood
	A light-weight container object for storing an N-dimensional neighborhood of values. More...
class	NeighborhoodAccessorFunctor
	Provides accessor interfaces to Get pixels and is meant to be used on pointers contained within Neighborhoods. A typical user should not need to use this class directly. This class is used by the neighborhood iterators to get pixels from pixel pointers or assign a pixel to an address. More...
class	NeighborhoodAllocator
class	NeighborhoodBinaryThresholdImageFunction
	Determine whether all the pixels in the specified neighborhood meet a threshold criteria. More...
class	NeighborhoodConnectedImageFilter
	Label pixels that are connected to a seed and lie within a neighborhood. More...
class	NeighborhoodInnerProduct
class	NeighborhoodIterator
class	NeighborhoodOperator
	Virtual class that defines a common interface to all neighborhood operator subtypes. More...
class	NeighborhoodOperatorImageFilter
	Applies a single NeighborhoodOperator to an image region. More...
class	NeighborhoodOperatorImageFunction
	Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...
class	NiftiImageIO
	Class that defines how to read Nifti file format. Nifti IMAGE FILE FORMAT - As much information as I can determine from sourceforge.net/projects/Niftilib. More...
class	NiftiImageIOFactory
	Create instances of NiftiImageIO objects using an object factory. More...
class	NodeList
	Stores secondary lists of nodes with pointers to the contained items. More...
class	nodeOfPermutation
class	NoEvent
class	NoiseImageFilter
	Calculate the local noise in an image. More...
class	NonLinearOptimizer
	Wrap of the vnl_nonlinear_minimizer to be adapted. More...
class	NonThreadedShrinkImageFilter
	Reduce the size of an image by an integer factor. More...
class	NonUniformBSpline
	BSpline with nonuniform knot spacing. More...
class	NormalBandNode
	This is a data storage class that can is used as the node type for the SparseImage class. More...
class	NormalizedCorrelationImageFilter
	Computes the normalized correlation of an image and a template. More...
class	NormalizedCorrelationImageToImageMetric
	Computes similarity between two images to be registered. More...
class	NormalizedCorrelationPointSetToImageMetric
	Computes similarity between pixel values of a point set and intensity values of an image. More...
class	NormalizedMutualInformationHistogramImageToImageMetric
	Computes normalized mutual information between two images to be registered using the histograms of the intensities in the images. More...
class	NormalizeImageFilter
	Normalize an image by setting its mean to zero and variance to one. More...
class	NormalVectorDiffusionFunction
	This class defines all the necessary functionality for performing isotropic and anisotropic diffusion operations on vector neighborhoods from a sparse image. More...
class	NormalVectorFunctionBase
class	NotImageFilter
	Implements the NOT logical operator pixel-wise on an image. More...
class	NrrdImageIO
	Read and write the "Nearly Raw Raster Data" (Nrrd) image format. The Nrrd format was developed as part of the Teem package (teem.sourceforge.net). More...
class	NrrdImageIOFactory
	Create instances of NrrdImageIO objects using an object factory. More...
class	NthElementImageAdaptor
	Presents an image as being composed of the N-th element of its pixels. More...
class	NthElementImageAdaptorHelper
class	NthElementPixelAccessor
	Give access to the N-th of a Container type. More...
class	NumericSeriesFileNames
	Generate an ordered sequence of filenames. More...
class	NumericTraits
	Define traits for type RGBPixel<unsigned char>. More...
class	NumericTraits< RGBPixel< unsigned char > >
class	NumericTraits< RGBPixel< unsigned short > >
class	Object
	Base class for most itk classes. More...
class	ObjectFactory
	Create instances of a class. More...
class	ObjectFactoryBase
	Create instances of classes using an object factory. More...
class	ObjectMorphologyImageFilter
	Base class for the morphological operations being applied to isolated objects in an image. More...
class	ObjectStore
	A specialized memory management object for allocating and destroying contiguous blocks of objects. More...
class	Octree
class	OctreeBase
class	OctreeNode
class	OctreeNodeBranch
class	Offset
	Represent the offset between two n-dimensional indexes in a n-dimensional image. More...
class	OnePlusOneEvolutionaryOptimizer
	1+1 evolutionary strategy optimizer More...
class	OneWayEquivalencyTable
	Hash table to manage integral label equivalencies that are order dependent. More...
class	OpeningByReconstructionImageFilter
	Opening by reconstruction of an image. More...
class	Optimizer
	Generic representation for an optimization method. More...
class	OrientationAdapterBase
	base class that converts Orientation representations to direction cosines. More...
class	OrientedImage
	Templated n-dimensional oriented image class. More...
class	OrientImageFilter
	Permute axes and then flip images as needed to obtain agreement in coordinateOrientation codes. More...
class	OrImageFilter
	Implements the OR logical operator pixel-wise between two images. More...
class	OrthogonallyCorrected2DParametricPath
	Represent an orthogonally corrected 2D parametric path. More...
class	OrthogonalSwath2DPathFilter
	Filter that optimizes a 2D path relative to an image. More...
class	OStringStream
class	OtsuMultipleThresholdsCalculator
	Computes Otsu's thresholds for a histogram. More...
class	OtsuMultipleThresholdsImageFilter
	Threshold an image using multiple Otsu Thresholds. More...
class	OtsuThresholdImageCalculator
	Computes the Otsu's threshold for an image. More...
class	OtsuThresholdImageFilter
	Threshold an image using the Otsu Threshold. More...
class	OutputWindow
	Messages sent from the system are collected by this object. More...
class	PadImageFilter
	Increase the image size by padding. Superclass for filters that fill in extra pixels. More...
class	ParallelSparseFieldCityBlockNeighborList
class	ParallelSparseFieldLevelSetImageFilter
class	ParallelSparseFieldLevelSetNode
class	ParametricPath
	Represent a parametric path through ND Space. More...
class	ParametricSpaceToImageSpaceMeshFilter
class	PasteImageFilter
	Paste an image into another image. More...
class	Path
	Represent a path through ND Space. More...
class	PathAndImageToPathFilter
	Base class for filters that take both a path and an image as input and produce a path as output. More...
class	PathConstIterator
	PathConstIterator iterates (traces) over a path through an image. More...
class	PathIterator
	PathIterator iterates (traces) over a path through an image. More...
class	PathSource
	Base class for all process objects that output path data. More...
class	PathToChainCodePathFilter
	Filter that produces a chain code version of a path. More...
class	PathToImageFilter
	Base class for filters that take a Path as input and produce an image as output. Base class for filters that take a Path as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the path's bounding box is used. The default spacing of the image is given by the spacing of the input path (currently assumed internally to be 1.0). More...
class	PathToPathFilter
	Base class for filters that take a path as input and produce a path as output. More...
class	PCAShapeSignedDistanceFunction
	Compute the signed distance from a N-dimensional PCA Shape. More...
class	PDEDeformableRegistrationFilter
	Deformably register two images using a PDE algorithm. More...
class	PDEDeformableRegistrationFunction
class	PeriodicBoundaryCondition
	A function object that determines values outside of image boundaries according to periodic (wrap-around) conditions. More...
class	PermuteAxesImageFilter
	Permutes the image axes according to a user specified order. More...
class	PhasedArray3DSpecialCoordinatesImage
	Templated 3D nonrectilinear-coordinate image class for phased-array "range" images. More...
class	PickEvent
class	PixelAccessor
	Give access to partial aspects of a type. More...
class	PlaneSpatialObject
class	PNGImageIO
	ImageIO object for reading and writing PNG images. More...
class	PNGImageIOFactory
	Create instances of PNGImageIO objects using an object factory. More...
class	Point
	A templated class holding a geometric point in n-Dimensional space. More...
class	Point1D
class	PointBasedSpatialObject
	This class serves as the base class for point-based spatial objects. More...
class	PointLocator
	Accelerate geometric searches for points. More...
class	PointSet
class	PointSetToImageFilter
	Base class for filters that take a PointSet as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the point-set's bounding box is used. More...
class	PointSetToImageMetric
	Computes similarity between a point set and an image. More...
class	PointSetToImageRegistrationMethod
	Base class for PointSet to Image Registration Methods. More...
class	PointSetToPointSetMetric
	Computes similarity between two point sets. More...
class	PointSetToPointSetRegistrationMethod
	Base class for PointSet to PointSet Registration Methods. More...
class	PointSetToSpatialObjectDemonsRegistration
	Implementation of Demons Registration between a PointSet and a SpatialObject. More...
class	PolygonCell
class	PolygonGroupSpatialObject
	Implements a Region Of Interest Type. More...
class	PolygonGroupSpatialObjectXMLFileReader
class	PolygonGroupSpatialObjectXMLFileWriter
class	PolygonSpatialObject
class	PolylineMask2DImageFilter
	Implements 2D image masking operation constrained by a contour. More...
class	PolylineMaskImageFilter
	Implements image masking operation constrained by a polyline on a plane perpendicular to certain viewing direction. More...
class	PolyLineParametricPath
	Represent a path of line segments through ND Space. More...
class	PostOrderTreeIterator
class	PowellOptimizer
	Implements Powell optimization using Brent line search - adapted from Numerical Recipes in C (first edition). More...
class	PreOrderTreeIterator
class	ProcessObject
	ProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline. More...
class	ProgressAccumulator
	Facilitates progress reporting for filters that wrap around multiple other filters. More...
class	ProgressEvent
class	ProgressReporter
	Implements progress tracking for a filter. More...
class	QuadraticEdgeCell
class	QuadraticTriangleCell
class	QuadraticTriangleCellTopology
class	QuadrilateralCell
class	QuadrilateralCellTopology
class	QuaternionOrientationAdapter
	converts QuaternionOrientation flags to/from direction cosines More...
class	QuaternionRigidTransform
	QuaternionRigidTransform of a vector space (e.g. space coordinates). More...
class	QuaternionRigidTransformGradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	RandomImageSource
	Generate an n-dimensional image of random pixel values. More...
class	randomPermutation
class	RawImageIO
	Read and write raw binary images. More...
class	RawImageIOFactory
class	RayCastInterpolateImageFunction
	Projective interpolation of an image at specified positions. More...
class	RealTimeClock
	The RealTimeClock provides a timestamp from a real-time clock. More...
class	ReceptorMemberCommand
class	ReconstructionByDilationImageFilter
	grayscale reconstruction by dilation of an image More...
class	ReconstructionByErosionImageFilter
	grayscale reconstruction by erosion of an image More...
class	RecursiveGaussianImageFilter
	Base class for computing IIR convolution with an approximation of a Gaussian kernel. More...
class	RecursiveMultiResolutionPyramidImageFilter
	Creates a multi-resolution pyramid using a recursive implementation. More...
class	RecursiveSeparableImageFilter
	Base class for recursive convolution with a kernel. More...
class	RedPixelAccessor
	Give access to the red component of a RGBPixel type. More...
class	ReflectImageFilter
	Implements a Reflection of an image along a selected direction. More...
class	ReflectiveImageRegionConstIterator
	Multi-dimensional image iterator which only walks a region. More...
class	ReflectiveImageRegionIterator
	Multi-dimensional image iterator which only walks a region. More...
class	Region
	A region represents some portion or piece of data. More...
class	RegionGrowImageFilter
	Base class for RegionGrowImageFilter object. More...
class	RegionOfInterestImageFilter
	Extract a region of interest from the input image. More...
class	RegularExpressionSeriesFileNames
	Generate an ordered sequence of filenames that match a regular expression. More...
class	RegularSphereMeshSource
	Inputs are the center of the mesh, the scale (radius in each dimension) of the mesh and a resolution parameter, which corresponds to the recursion depth whlie creating a spherical triangle mesh. More...
class	RegularStepGradientDescentBaseOptimizer
	Implement a gradient descent optimizer. More...
class	RegularStepGradientDescentOptimizer
	Implement a gradient descent optimizer. More...
class	ReinitializeLevelSetImageFilter
	Reinitialize the level set to the signed distance function. More...
class	RelabelComponentImageFilter
	Relabel the components in an image such that consecutive labels are used. More...
class	ResampleImageFilter
	Resample an image via a coordinate transform. More...
class	RescaleIntensityImageFilter
class	RGBAPixel
	Represent Red, Green, Blue cand Alpha component for color images. More...
class	RGBGibbsPriorFilter
class	RGBPixel
	Represent Red, Green and Blue component for color images. More...
class	RGBToLuminanceImageAdaptor
class	RGBToLuminanceImageFilter
	Converts an RGB image into a grayscale image. More...
class	RGBToVectorImageAdaptor
	Presents an image of pixel type RGBPixel as being and image of Vectors. More...
class	Rigid2DTransform
	Rigid2DTransform of a vector space (e.g. space coordinates). More...
class	Rigid3DPerspectiveTransform
	Rigid3DTramsform of a vector space (e.g. space coordinates). More...
class	Rigid3DTransform
	Rigid3DTransform of a vector space (e.g. space coordinates). More...
class	RootTreeIterator
class	ScalableAffineTransform
	Affine transformation with a specified center of rotation. More...
class	ScalarAnisotropicDiffusionFunction
class	ScalarConnectedComponentImageFilter
	A connected components filter that labels the objects in an arbitrary image. Two pixels are similar if they are within threshold of each other. Uses ConnectedComponentFunctorImageFilter. More...
class	ScalarImageKmeansImageFilter
	Classifies the intensity values of a scalar image using the K-Means algorithm. More...
class	ScalarToArrayCastImageFilter
	Creates the output image with vector type pixels filled with the intensity values from one or more input images with scalar pixels. More...
class	ScalarVector
	A templated class holding bot scalar and vector values and responding to the GetScalar() and GetVector() methods. More...
class	ScaleLogarithmicTransform
	Logarithmic Scale transformation of a vector space (e.g. space coordinates). More...
class	ScaleSkewVersor3DTransform
	ScaleSkewVersor3DTransform of a vector space (e.g. space coordinates). More...
class	ScaleTransform
	Scale transformation of a vector space (e.g. space coordinates). More...
class	ScatterMatrixImageFunction
	Calculate the scatter matrix in the neighborhood of a pixel in a Vector image. More...
class	SceneSpatialObject
	a SceneSpatialObject has a list of SpatialObjects More...
class	SecondaryNodeList
	Stores corresponding lists of nodes with pointers to the contained items. More...
class	SegmentationBorder
	Base class for SegmentationBorder object. More...
class	SegmentationLevelSetFunction
class	SegmentationLevelSetImageFilter
	A base class which defines the API for implementing a special class of image segmentation filters using level set methods. More...
class	SegmentationRegion
	Base class for SegmentationRegion object. More...
class	Semaphore
	The semaphore class is used to synchronize execution between threads. More...
class	ShapeDetectionLevelSetFunction
	This function is used in the ShapeDetectionLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map. More...
class	ShapeDetectionLevelSetImageFilter
	Segments structures in images based on a user supplied edge potential map. More...
class	ShapedNeighborhoodIterator
	A neighborhood iterator which can take on an arbitrary shape. More...
class	ShapePriorMAPCostFunction
	Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. More...
class	ShapePriorMAPCostFunctionBase
	Represents the base class of maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters. More...
class	ShapePriorSegmentationLevelSetFunction
	This function is used in ShapePriorSegmentationLevelSetFilter to segment structures in an image based on user supplied edge potential map and shape model. More...
class	ShapePriorSegmentationLevelSetImageFilter
	A base class which defines the API for implementing a level set segmentation filter with statistical shape influence. More...
class	ShapeSignedDistanceFunction
	Base class for functions which evaluates the signed distance from a shape. More...
class	ShiftScaleImageFilter
	Shift and scale the pixels in an image. More...
class	ShiftScaleInPlaceImageFilter
	Shift and scale the pixels in an image. More...
class	ShrinkImageFilter
	Reduce the size of an image by an integer factor in each dimension. More...
class	SiemensVisionImageIO
	Class that defines how to read SiemensVision file format. More...
class	SiemensVisionImageIOFactory
	Create instances of SiemensVisionImageIO objects using an object factory. More...
class	SigmoidImageFilter
	Computes the sigmoid function pixel-wise. More...
class	SignedDanielssonDistanceMapImageFilter
class	SignedMaurerDistanceMapImageFilter
class	Similarity2DTransform
	Similarity2DTransform of a vector space (e.g. space coordinates). More...
class	Similarity3DTransform
	Similarity3DTransform of a vector space (e.g. space coordinates). More...
class	SimilarityIndexImageFilter
	Measures the similarity between the set of non-zero pixels of two images. More...
class	SimpleConstMemberCommand
class	SimpleContourExtractorImageFilter
	Computes an image of contours from. More...
class	SimpleDataObjectDecorator
	Decorates any "simple" data type (data types without smart pointers) with a DataObject API. More...
class	SimpleFastMutexLock
	Critical section locking class that can be allocated on the stack. More...
class	SimpleFilterWatcher
	Simple mechanism for monitoring the pipeline events of a filter and reporting these events to std::cout. More...
class	SimpleFuzzyConnectednessScalarImageFilter
	Perform segmentation on grayscale images using method of fuzzy connectedness. More...
class	SimpleMemberCommand
class	SimpleMutexLock
	Simple mutual exclusion locking class. More...
class	SimplexMesh
	The class represents a 2-simplex mesh. More...
class	SimplexMeshAdaptTopologyFilter
	This filter changes the topology of a 2-simplex mesh. More...
class	SimplexMeshGeometry
	handle geometric properties for vertices of a simplx mesh More...
class	SimplexMeshToTriangleMeshFilter
	This filter converts a 2-simplex mesh into a triangle mesh. More...
class	SimplexMeshVolumeCalculator
class	SingleValuedCostFunction
	This class is a base for the CostFunctions returning a single value. More...
class	SingleValuedNonLinearOptimizer
	This class is a base for the Optimization methods that optimize a single valued function. More...
class	SingleValuedNonLinearVnlOptimizer
	This class is a base for the Optimization methods that optimize a single valued function. More...
class	SingleValuedVnlCostFunctionAdaptor
	This class is an Adaptor that allows to pass itk::SingleValuedCostFunctions to vnl_optimizers expecting a vnl_cost_function. More...
class	SinImageAdaptor
class	SinImageFilter
	Computes the vcl_sin(x) pixel-wise. More...
class	Size
	Represent the size (bounds) of a n-dimensional image. More...
class	SliceIterator
	A flexible iterator for itk containers(i.e. itk::Neighborhood) that support pixel access through operator[]. More...
class	SmartPointer
	Implements transparent reference counting. More...
class	SmartPointerForwardReference
	Implements transparent reference counting in situations where forward references / cyclic include dependencies are a problem. More...
class	SmoothingRecursiveGaussianImageFilter
	Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More...
class	SobelEdgeDetectionImageFilter
	A 2D or 3D edge detection using the Sobel operator. More...
class	SparseFieldFourthOrderLevelSetImageFilter
class	SparseFieldLayer
class	SparseFieldLayerIterator
class	SparseFieldLevelSetImageFilter
	This class implements a finite difference partial differential equation solver for evolving surfaces embedded in volumes as level-sets.
class	SparseFieldLevelSetNode
class	SparseImage
	This class implements a storage type for sparse image data. More...
class	SpatialFunction
	N-dimensional spatial function class. More...
class	SpatialFunctionImageEvaluatorFilter
	Evaluates a SpatialFunction onto a source image. More...
class	SpatialObject
	Implementation of the composite pattern. More...
class	SpatialObjectDuplicator
class	SpatialObjectFactory
	Create instances of SpatialObjects. More...
class	SpatialObjectFactoryBase
	Create instances of SpatialObjects. More...
class	SpatialObjectPoint
	Point used for spatial objets. More...
class	SpatialObjectProperty
class	SpatialObjectReader
class	SpatialObjectToImageFilter
	Base class for filters that take a SpatialObject as input and produce an image as output. By default, if the user does not specify the size of the output image, the maximum size of the object's bounding box is used. The spacing of the image is given by the spacing of the input Spatial object. More...
class	SpatialObjectToImageStatisticsCalculator
class	SpatialObjectToPointSetFilter
	Base class for filters that take a SpatialObject as input and produce a PointSet as output. The pointset created is in physical space. More...
class	SpatialObjectTreeContainer
	Array class with size defined at construction time. More...
class	SpatialObjectTreeNode
class	SpatialObjectWriter
class	SpatialOrientationAdapter
	converts SpatialOrientation flags to/from direction cosines More...
class	SpecialCoordinatesImage
	Templated n-dimensional nonrectilinear-coordinate image base class. More...
class	SphereMeshSource
class	SphereSignedDistanceFunction
	Compute the signed distance from a N-dimensional sphere. More...
class	SphereSpatialFunction
	Spatial function implementation of a sphere. More...
class	SPSAOptimizer
	An optimizer based on simultaneous perturbation... More...
class	SqrtImageAdaptor
class	SqrtImageFilter
	Computes the vcl_sqrt(x) pixel-wise. More...
class	SquaredDifferenceImageFilter
	Implements pixel-wise the computation of squared difference. More...
class	SquareImageFilter
	Computes the square of the intensity values pixel-wise. More...
class	STAPLEImageFilter
	The STAPLE filter implements the Simultaneous Truth and Performance Level Estimation algorithm for generating ground truth volumes from a set of binary expert segmentations. More...
class	StartEvent
class	StartPickEvent
class	StatisticsImageFilter
	Compute min. max, variance and mean of an Image. More...
class	StdStreamLogOutput
	Class StdStreamLogOutput represents a standard stream output stream. This class provides thread safety for the standard stream output stream. More...
class	StimulateImageIO
	ImageIO class for reading SDT/SPR (Stimulate) images This format is similar to a MetaImageIO file: The user should specify the .spr file (not the data file : .sdt). More...
class	StimulateImageIOFactory
	Create instances of StimulateImageIO objects using an object factory. More...
class	STLConstContainerAdaptor
class	STLContainerAdaptor
class	StreamingImageFilter
	Pipeline object to control data streaming for large data processing. More...
class	StructHashFunction
	Generic hash function for an arbitrary struct (or class). More...
class	SubtractImageFilter
	Implements an operator for pixel-wise subtraction of two images. More...
class	SumOfSquaresImageFunction
	Calculate the sum of squares in the neighborhood of a pixel. More...
class	SurfaceSpatialObject
	Representation of a Surface based on the spatial object classes. More...
class	SurfaceSpatialObjectPoint
	Point used for a Surface definition. More...
class	SymmetricEigenAnalysis
	Find Eigen values of a real 2D symmetric matrix. It serves as a thread safe alternative to the class: vnl_symmetric_eigensystem, which uses netlib routines. More...
class	SymmetricEigenAnalysisImageFilter
class	SymmetricEigenSystem
	wrapper of the vnl_symmetric_eigensystem algorithm More...
class	SymmetricEllipsoidInteriorExteriorSpatialFunction
class	SymmetricForcesDemonsRegistrationFilter
	Deformably register two images using the demons algorithm. More...
class	SymmetricForcesDemonsRegistrationFunction
class	SymmetricSecondRankTensor
	Represent a symmetric tensor of second rank. More...
class	TanImageAdaptor
class	TanImageFilter
	Computes the vcl_tan(x) pixel-wise. More...
class	TargetClass
class	TensorFractionalAnisotropyImageFilter
class	TensorRelativeAnisotropyImageFilter
class	TernaryAddImageFilter
	Implements pixel-wise addition of three images. More...
class	TernaryFunctorImageFilter
	Implements pixel-wise generic operation of three images. More...
class	TernaryMagnitudeImageFilter
	Implements pixel-wise addition of three images. More...
class	TernaryMagnitudeSquaredImageFilter
	Implements pixel-wise addition of three images. More...
class	TetrahedronCell
class	TetrahedronCellTopology
class	TextOutput
class	ThinPlateR2LogRSplineKernelTransform
class	ThinPlateSplineKernelTransform
class	ThreadLogger
	Class ThreadLogger is meant for providing logging service as a separate thread. More...
class	ThresholdImageFilter
	Set image values to a user-specified value if they are below, above, or between simple threshold values. More...
class	ThresholdLabelerImageFilter
	Label an input image according to a set of thresholds. More...
class	ThresholdMaximumConnectedComponentsImageFilter
	Finds the threshold value of an image based on maximizing the number of objects in the image that are larger than a given minimal size. More...
class	ThresholdSegmentationLevelSetFunction
	This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values. More...
class	ThresholdSegmentationLevelSetImageFilter
	Segments structures in images based on intensity values. More...
class	TIFFImageIO
	ImageIO object for reading and writing TIFF images. More...
class	TIFFImageIOFactory
	Create instances of TIFFImageIO objects using an object factory. More...
class	TileImageFilter
	Tile multiple input images into a single output image. More...
class	TimeProbe
	Class for computing the time passed between two points in the code. More...
class	TimeProbesCollectorBase
	Class for aggregating a set of time probes. More...
class	TimeStamp
	Generate a unique, increasing time value. More...
class	TobogganImageFilter
	toboggan image segmentation The Toboggan segmentation takes a gradient magnitude image as input and produces an (over-)segmentation of the image based on connecting each pixel to a local minimum of gradient. It is roughly equivalent to a watershed segmentation of the lowest level. More...
class	TorusInteriorExteriorSpatialFunction
	Spatial function implementation of torus symmetric about the z-axis in 3D. More...
class	Transform
	Transform points and vector from an input space to an output space. More...
class	TransformBase
class	TransformFactory
	Create instances of Transforms. More...
class	TransformFactoryBase
	Create instances of Transforms. More...
class	TransformFileReader
class	TransformFileWriter
class	TransformMeshFilter
class	TranslationTransform
	Translation transformation of a vector space (e.g. space coordinates). More...
class	TreeAddEvent
class	TreeChangeEvent
	This class derives from ModifiedEvent and check if the position of a node in the tree has been changed. More...
class	TreeContainer
	TreeContainer class. More...
class	TreeContainerBase
class	TreeIteratorBase
	TreeIteratorBase class. More...
class	TreeIteratorClone
class	TreeNode
	TreeNode class. More...
class	TreeRemoveEvent
class	TriangleCell
class	TriangleCellTopology
class	TriangleMeshToBinaryImageFilter
class	TriangleMeshToSimplexMeshFilter
	This filter converts a triangle mesh into a 2-simplex mesh. More...
class	TubeSpatialObject
	Representation of a tube based on the spatial object classes. More...
class	TubeSpatialObjectPoint
	Point used for a tube definition. More...
class	TwoOutputExampleImageFilter
	Example of a filter that produce two outputs. More...
class	UnaryCorrespondenceMatrix
	A matrix used to store the Unary Metric for medial node comparisons between two images. More...
class	UnaryFunctorImageFilter
	Implements pixel-wise generic operation on one image. More...
class	UnaryMedialNodeMetric
	Compares the scale and dimensionality of two medial nodes. More...
class	UnsharpMaskLevelSetImageFilter
	This class implements a detail enhancing filter by making use of the 4th-order level set isotropic diffusion (smoothing) PDE. More...
class	UserEvent
class	ValarrayImageContainer
class	VariableLengthVector
	VariableLengthVector is intended to reperesent an array whose length can be defined at run-time. More...
class	VariableSizeMatrix
	A templated class holding a M x N size Matrix This class contains a vnl_matrix in order to make all the vnl mathematical methods available. This class is meant to be used when the matrix length cannot be determined at compile time. More...
class	VarianceImageFunction
	Calculate the variance in the neighborhood of a pixel. More...
class	Vector
	A templated class holding a n-Dimensional vector. More...
class	VectorAnisotropicDiffusionFunction
class	VectorCastImageFilter
	Casts input vector pixels to output vector pixel type. More...
class	VectorConfidenceConnectedImageFilter
class	VectorConnectedComponentImageFilter
class	VectorContainer
class	VectorCurvatureAnisotropicDiffusionImageFilter
class	VectorCurvatureNDAnisotropicDiffusionFunction
class	VectorExpandImageFilter
	Expand the size of a vector image by an integer factor in each dimension. More...
class	VectorFuzzyConnectednessImageFilter
class	VectorGradientAnisotropicDiffusionImageFilter
class	VectorGradientMagnitudeImageFilter
	Computes a scalar, gradient magnitude image from a multiple channel (pixels are vectors) input. More...
class	VectorGradientNDAnisotropicDiffusionFunction
class	VectorImage
class	VectorImageNeighborhoodAccessorFunctor
	Provides accessor interfaces to Access pixels and is meant to be used on pointers to pixels held by the Neighborhood class. More...
class	VectorImageToImageAdaptor
class	VectorIndexSelectionCastImageFilter
class	VectorInterpolateImageFunction
class	VectorLinearInterpolateImageFunction
	Linearly interpolate a vector image at specified positions. More...
class	VectorMeanImageFunction
	Calculate the mean value in the neighborhood of a pixel in a Vector image. More...
class	VectorNearestNeighborInterpolateImageFunction
	Nearest neighbor interpolate a vector image at specified positions. More...
class	VectorNeighborhoodInnerProduct
class	VectorNeighborhoodOperatorImageFilter
	Applies a single scalar NeighborhoodOperator to an itk::Vector image region. More...
class	VectorResampleImageFilter
	Resample an image via a coordinate transform. More...
class	VectorRescaleIntensityImageFilter
class	VectorThresholdSegmentationLevelSetFunction
	This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance. More...
class	VectorThresholdSegmentationLevelSetImageFilter
	Segments structures in images based on intensity values. More...
class	VectorToRGBImageAdaptor
	Presents an image of pixel type Vector as being and image of RGBPixel type. More...
class	Version
	Track the current version of the software. More...
class	Versor
	A templated class holding a unit quaternion. More...
class	VersorRigid3DTransform
	VersorRigid3DTransform of a vector space (e.g. space coordinates). More...
class	VersorRigid3DTransformOptimizer
	Implement a gradient descent optimizer for the VersorRigid3DTransform parameter space. More...
class	VersorTransform
class	VersorTransformOptimizer
	Implement a gradient descent optimizer. More...
class	VertexCell
class	VesselTubeSpatialObject
	Representation of a tube based on the spatial object classes. More...
class	VesselTubeSpatialObjectPoint
	Point used for a tube definition. More...
class	VnlFFTComplexConjugateToRealImageFilter
class	VnlFFTRealToComplexConjugateImageFilter
class	VolumeSplineKernelTransform
class	VoronoiDiagram2D
	Implements the 2-Dimensional Voronoi Diagram. More...
class	VoronoiDiagram2DGenerator
	Implement the Sweep Line Algorithm for the construction of the 2D Voronoi Diagram. More...
class	VoronoiPartitioningImageFilter
class	VoronoiSegmentationImageFilter
class	VoronoiSegmentationImageFilterBase
class	VoronoiSegmentationRGBImageFilter
class	VotingBinaryHoleFillingImageFilter
	Fills in holes and cavities by applying a voting operation on each pixel. More...
class	VotingBinaryImageFilter
	Applies a voting operation in a neighborhood of each pixel. More...
class	VotingBinaryIterativeHoleFillingImageFilter
	Fills in holes and cavities by iteratively applying a voting operation. More...
class	VTKImageExport
	Connect the end of an ITK image pipeline to a VTK pipeline. More...
class	VTKImageExportBase
	Superclass for VTKImageExport instantiations. More...
class	VTKImageImport
	Connect the end of an VTK pipeline to an ITK image pipeline. More...
class	VTKImageIO
	ImageIO class for reading VTK images. More...
class	VTKImageIOFactory
	Create instances of VTKImageIO objects using an object factory. More...
class	WarpImageFilter
	Warps an image using an input deformation field. More...
class	WarpMeshFilter
class	WarpVectorImageFilter
	Warps an image using an input deformation field. More...
class	WatershedImageFilter
	A low-level image analysis algorithm that automatically produces a hierarchy of segmented, labeled images from a scalar-valued image input. More...
class	WatershedMiniPipelineProgressCommand
class	WeakPointer
	Implements a weak reference to an object. More...
class	WeightedAddImageFilter
	Implements an operator for computed a weighted sum of two images pixel-wise. More...
class	WhiteTopHatImageFilter
	White top hat extract local maxima that are larger than the structuring element. More...
class	Win32OutputWindow
	Collect error and debug messages on Win32-based systems. More...
class	WindowedSincInterpolateImageFunction
class	WrapPadImageFilter
	Increase the image size by padding with replicants of the input image value. More...
class	XMLFileOutputWindow
	Messages sent from the system are sent to a file with each message enclosed by XML tags. More...
class	XMLFilterWatcher
	Simple mechanism for monitoring the pipeline events of a filter and reporting these events to std::cout. Formats reports with xml. More...
class	XMLReader
class	XMLReaderBase
class	XMLWriterBase
class	XorImageFilter
	Implements the XOR logical operator pixel-wise between two images. More...
class	ZeroCrossingBasedEdgeDetectionImageFilter
class	ZeroCrossingImageFilter
class	ZeroFluxNeumannBoundaryCondition
	A function object that determines a neighborhood of values at an image boundary according to a Neumann boundary condition where first, upwind derivatives on the boundary are zero. This is a useful condition in solving some classes of differential equations. More...
Namespaces
namespace	Accessor
namespace	bio
namespace	Concept
namespace	fem
namespace	Function
namespace	Functor
namespace	ImageToImageFilterDetail
namespace	NeighborhoodAlgorithm
namespace	QuaternionOrientationAdapterClasses
namespace	SpatialOrientation
namespace	Statistics
namespace	watershed
Typedefs
typedef int	FastMutexType
typedef std::vector< std::string >	FilenamesContainer
typedef std::istream	InputStreamType
typedef void *	LibHandle
typedef int	MutexType
typedef NeighborhoodType::OffsetType	OffsetType
typedef std::ostream	OutputStreamType
typedef PolygonGroupSpatialObject< 3 >	PGroupSpatialObjectType
typedef NeighborhoodType::RadiusType	RadiusType
typedef int	SemaphoreType
typedef std::vector< std::string >	SerieUIDContainer
typedef void(*	ThreadFunctionType )(void *)
typedef int	ThreadProcessIDType
Enumerations
enum	{   B2_MASKFILE_BLACK = 0,   B2_MASKFILE_WHITE = 1,   B2_MASKFILE_GRAY = 2 }
enum	{ num_primes = 28 }
enum	LeafIdentifier {   ZERO = 0,   ONE = 1,   TWO = 2,   THREE = 3,   FOUR = 4,   FIVE = 5,   SIX = 6,   SEVEN = 7 }
enum	OctreePlaneType
enum	PolygonGroupOrientation {   Axial = 0,   Coronal = 1,   Sagittal = 2,   UserPlane = 3,   Unknown = 4 }
Functions
ITKCommon_EXPORT Vector< int, 3 >	CrossProduct (const Vector< int, 3 > &, const Vector< int, 3 > &)
ITKCommon_EXPORT Vector< float, 3 >	CrossProduct (const Vector< float, 3 > &, const Vector< float, 3 > &)
ITKCommon_EXPORT Vector< double, 3 >	CrossProduct (const Vector< double, 3 > &, const Vector< double, 3 > &)
ITKCommon_EXPORT void	CrossProduct (CovariantVector< int, 3 >, const Vector< int, 3 > &, const Vector< int, 3 > &)
ITKCommon_EXPORT void	CrossProduct (CovariantVector< float, 3 > &, const Vector< float, 3 > &, const Vector< float, 3 > &)
ITKCommon_EXPORT void	CrossProduct (CovariantVector< double, 3 > &, const Vector< double, 3 > &, const Vector< double, 3 > &)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
ptrdiff_t *	distance_type (const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
ptrdiff_t *	distance_type (const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
template<class T>
void	EncapsulateMetaData (MetaDataDictionary &Dictionary, const char *key, const T &invalue)
template<class T>
*EncapsulateMetaData is a convenience function that encapsulates raw MetaData into a *MetaDataObject that can be put into the MetaDataDictionary *param value the value of type T that is to be encapsulated *return A smartpointer ot a MetaDataObject that is suitable for *insertion into a MetaDataDictionary *void	EncapsulateMetaData (MetaDataDictionary &Dictionary, const std::string &key, const T &invalue)
template<class T>
bool	ExposeMetaData (MetaDataDictionary &Dictionary, const char *const key, T &outval)
template<class T>
bool	ExposeMetaData (MetaDataDictionary &Dictionary, const std::string key, T &outval)
const unsigned int &	GetArrayIndex (unsigned int i) const
const OffsetType &	GetNeighborhoodOffset (unsigned int i) const
const RadiusType &	GetRadius () const
const unsigned int &	GetSize () const
int	GetStride (unsigned int i)
Make a Fourier series path trace a chain code path of same dimensionality *numHarmonics is the number of	harmonics (frequency coefficients, which *include the"DC"term) to compute.If chainPath has too few steps to *calculate numHarmonics(due to the Nyquist criterion)
vcl_size_t	hash_string (const char *s)
**itk::NeighborhoodIterator< ImageType > *	iterator (operator->GetRadius(), myImage, myImage->GetRequestedRegion())
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
std::forward_iterator_tag	iterator_category (const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
std::forward_iterator_tag	iterator_category (const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the	itk::Image (see Image)*using the radius of the derivative kernel as the size.**Itk iterators only loosely follow STL conventions.Notice that instead of *asking myImage for myImage.begin() and myImage.end()
	ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (unsigned int)
	ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (signed int)
	ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (double)
	ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (float)
	ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (FixedArray)
	ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (Point)
	ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (CovariantVector)
	ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (Vector)
itk::ObjectFactoryBase *	itkLoad ()
	itkStaticConstMacro (Dimension, unsigned int, NeighborhoodType::Dimension)
template<class TChainCodePath, class TPathInput>
void	MakeChainCodeTracePath (TChainCodePath &chainPath, const TPathInput &inPath, bool restrictMovement=false)
Make a Fourier series path trace a chain code path of same dimensionality *numHarmonics is the number of then as many harmonics *as class TChainCodePath void	MakeFourierSeriesPathTraceChainCode (TFourierSeriesPath &FSPath, const TChainCodePath &chainPath, unsigned int numHarmonics=8)
float	MvtSunf (int numb)
unsigned long	next_prime (unsigned long n)
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional	offsets (from the center of the *neighborhood) are created and stored.The indicies and offsets correspond *to the"city-block"neighbors
template<class T, unsigned int NVectorDimension>
Vector< T, NVectorDimension >	operator * (const T &scalar, const Vector< T, NVectorDimension > &v)
template<class TValueType, class T>
VariableLengthVector< TValueType >	operator * (const T &scalar, const VariableLengthVector< TValueType > &v)
template<typename TValueType, unsigned int VLength>
SymmetricSecondRankTensor< TValueType, VLength >	operator * (double d, const SymmetricSecondRankTensor< TValueType, VLength > &f)
template<class T, unsigned int NVectorDimension>
CovariantVector< T, NVectorDimension >	operator * (const T &scalar, const CovariantVector< T, NVectorDimension > &v)
template<class TImage>
ConstNeighborhoodIterator< TImage >	operator+ (const typename ConstNeighborhoodIterator< TImage >::OffsetType &ind, const ConstNeighborhoodIterator< TImage > &it)
template<class TImage>
ConstNeighborhoodIterator< TImage >	operator+ (const ConstNeighborhoodIterator< TImage > &it, const typename ConstNeighborhoodIterator< TImage >::OffsetType &ind)
template<class TImage>
ConstNeighborhoodIterator< TImage >	operator- (const ConstNeighborhoodIterator< TImage > &it, const typename ConstNeighborhoodIterator< TImage >::OffsetType &ind)
*	operator->CreateDirectional ()
*	operator->SetDirection (0)
*	operator->SetOrder (1)
std::ostream &	operator<< (std::ostream &os, MultivariateLegendrePolynomial &poly)
std::ostream &	operator<< (std::ostream &os, const ImageIORegion &region)
template<typename T>
std::ostream &	operator<< (std::ostream &os, WeakPointer< T > p)
template<class T>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const Versor< T > &v)
template<class T, unsigned int NVectorDimension>
std::ostream &	operator<< (std::ostream &os, const Vector< T, NVectorDimension > &v)
template<class T>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const VariableSizeMatrix< T > &v)
template<typename TValueType>
std::ostream &	operator<< (std::ostream &os, const VariableLengthVector< TValueType > &arr)
template<typename T>
std::ostream &	operator<< (std::ostream &os, TreeIteratorClone< T > p)
template<typename TComponent, unsigned int NDimension>
ITK_EXPORT OutputStreamType &	operator<< (OutputStreamType &os, const SymmetricSecondRankTensor< TComponent, NDimension > &c)
template<typename TMatrix, typename TVector, typename TEigenMatrix>
std::ostream &	operator<< (std::ostream &os, const SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix > &s)
template<typename T>
std::ostream &	operator<< (std::ostream &os, SmartPointerForwardReference< T > p)
template<typename T>
std::ostream &	operator<< (std::ostream &os, SmartPointer< T > p)
template<unsigned int VDimension>
std::ostream &	operator<< (std::ostream &os, const Size< VDimension > &size)
template<typename TComponent>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const RGBPixel< TComponent > &c)
template<typename TComponent>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const RGBAPixel< TComponent > &c)
template<class T, unsigned int NPointDimension>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const Point< T, NPointDimension > &v)
template<unsigned int VOffsetDimension>
std::ostream &	operator<< (std::ostream &os, const Offset< VOffsetDimension > &ind)
template<class TPixel>
std::ostream &	operator<< (std::ostream &o, const NeighborhoodAllocator< TPixel > &a)
template<class TPixel, unsigned int VDimension, class TContainer>
std::ostream &	operator<< (std::ostream &os, const Neighborhood< TPixel, VDimension, TContainer > &neighborhood)
template<class T, unsigned int NRows, unsigned int NColumns>
ITK_EXPORT std::ostream &	operator<< (std::ostream &os, const Matrix< T, NRows, NColumns > &v)
template<unsigned int VIndexDimension>
std::ostream &	operator<< (std::ostream &os, const Index< VIndexDimension > &ind)
template<unsigned int VImageDimension>
std::ostream &	operator<< (std::ostream &os, const ImageRegion< VImageDimension > &region)
template<typename TValueType, unsigned int VLength>
std::ostream &	operator<< (std::ostream &os, const FixedArray< TValueType, VLength > &arr)
template<typename T>
std::ostream &	operator<< (std::ostream &os, AutoPointer< T > p)
template<typename TValueType>
std::ostream &	operator<< (std::ostream &os, const Array2D< TValueType > &arr)
template<typename TValueType>
std::ostream &	operator<< (std::ostream &os, const Array< TValueType > &arr)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
bool	operator== (hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc >const &, hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc >const &)
template<class Value, class HashFcn, class EqualKey, class Alloc>
bool	operator== (const hash_multiset< Value, HashFcn, EqualKey, Alloc > &hs1, const hash_multiset< Value, HashFcn, EqualKey, Alloc > &hs2)
template<class Value, class HashFcn, class EqualKey, class Alloc>
bool	operator== (const hash_set< Value, HashFcn, EqualKey, Alloc > &hs1, const hash_set< Value, HashFcn, EqualKey, Alloc > &hs2)
template<class Key, class T, class HashFcn, class EqualKey, class Alloc>
bool	operator== (const hash_multimap< Key, T, HashFcn, EqualKey, Alloc > &hm1, const hash_multimap< Key, T, HashFcn, EqualKey, Alloc > &hm2)
template<class Key, class T, class HashFcn, class EqualKey, class Alloc>
bool	operator== (const hash_map< Key, T, HashFcn, EqualKey, Alloc > &hm1, const hash_map< Key, T, HashFcn, EqualKey, Alloc > &hm2)
template<class T>
ITK_EXPORT std::istream &	operator>> (std::istream &is, Versor< T > &v)
template<class T, unsigned int NVectorDimension>
std::istream &	operator>> (std::istream &is, Vector< T, NVectorDimension > &v)
template<typename TComponent, unsigned int NDimension>
ITK_EXPORT InputStreamType &	operator>> (InputStreamType &is, SymmetricSecondRankTensor< TComponent, NDimension > &c)
template<typename TComponent>
ITK_EXPORT std::istream &	operator>> (std::istream &is, RGBPixel< TComponent > &c)
template<typename TComponent>
ITK_EXPORT std::istream &	operator>> (std::istream &is, RGBAPixel< TComponent > &c)
template<class T, unsigned int NPointDimension>
ITK_EXPORT std::istream &	operator>> (std::istream &is, Point< T, NPointDimension > &v)
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the iterator pointer style STL and the increased *overhead required to conform to the complete STL API is not always *justified **The API for creating and manipulating a NeighborhoodIterator mimics *that of the itk::ImageIterators Like the a *ConstNeighborhoodIterator is defined on a region of interest in an itk::Image *Iteration is constrained within that region of interest **A NeighborhoodIterator is constructed as a container of	pointers (offsets)*to a geometric neighborhood of image pixels.As the central pixel position *in the mask is moved around the image
Make a Fourier series path trace a chain code path of same dimensionality *numHarmonics is the number of then as many harmonics *as	possible (chainPath->NumberOfSteps()/2) will be calculated.No fewer than *2 harmonics will be calcualted.*/template< class TFourierSeriesPath
void	Print (std::ostream &os) const
**iterator	SetToBegin ()
*Affine transformation of a vector	space (e.g.space coordinates)**This class allows the definition and manipulation of affine *transformations of an n-dimensional affine space(and its *associated vector space) onto itself.One common use is to define *and manipulate Euclidean coordinate transformations in two and *three dimensions
	SparseFieldCityBlockNeighborList ()
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation the order is important *Given two affine transformations T1 and we will say that *precomposing T1 with T2 yields the transformation which applies *T1 to the and then applies T2 to that result to obtain the *target we will say that postcomposing T1 with T2 *yields the transformation which applies T2 to the and then *applies T1 to that result to obtain the	target (Whether T1 or T2 *comes first lexicographically depends on whether you choose to *write mappings from right-to-left or vice versa;we avoid the whole *problem by referring to the order of application rather than the *textual order.)**There are two template parameters for this class
template<typename TAutoPointerBase, typename TAutoPointerDerived>
This templated function is intended to facilitate the transfer between AutoPointers of Derived class to Base class *void ITK_EXPORT	TransferAutoPointer (TAutoPointerBase &pa, TAutoPointerDerived &pb)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
Value *	value_type (const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc>
Value *	value_type (const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &)
*	while (!iterator.IsAtEnd())*
	~SparseFieldCityBlockNeighborList ()
Variables
const char *const	ANALYZE_AUX_FILE_NAME
const char *const	ANALYZE_CAL_MAX
const char *const	ANALYZE_CAL_MIN
const char *const	ANALYZE_CALIBRATIONUNITS
const char *const	ANALYZE_GLMAX
const char *const	ANALYZE_GLMIN
const char *const	ANALYZE_O_MAX
const char *const	ANALYZE_O_MIN
const char *const	ANALYZE_S_MAX
const char *const	ANALYZE_S_MIN
const char *const	ANALYZE_ScanNumber
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this *	application
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that neighbors in neighbors in etc **par *Order of reference is lowest index to highest index in the neighborhood *For for	connectivity
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation the order is important *Given two affine transformations T1 and we will say that *precomposing T1 with T2 yields the transformation which applies *T1 to the and then applies T2 to that result to obtain the *target	Conversely
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target	coordinates
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that neighbors in	d
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative	DerivativeOperator
*Due to a bug in an enum value cannot be accessed out of a template *parameter until the template class opens::In order for templated classes *to access the dimension of an image template parameter in defining their *own	dimension
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that neighbors in neighbors in etc **par *Order of reference is lowest index to highest index in the neighborhood *For	example
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative	Finally
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More	generally
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation	However
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the iterator pointer style STL and the increased *overhead required to conform to the complete STL API is not always *justified **The API for creating and manipulating a NeighborhoodIterator mimics *that of the itk::ImageIterators Like the a *ConstNeighborhoodIterator is defined on a region of interest in an itk::Image *Iteration is constrained within that region of interest **A NeighborhoodIterator is constructed as a container of the neighboring pixel pointers *offsets are moved accordingly **A em pixel em neighborhood is defined as a central pixel location and an *N dimensional radius extending outward from that location *Pixels in a neighborhood can be accessed through a NeighborhoodIterator *like elements in an array For a D neighborhood with radius x1 *has	indices
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that	is
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the iterator pointer style STL	iterators
const char *const	ITK_CoordinateOrientation
const char *const	ITK_ExperimentDate
const char *const	ITK_ExperimentTime
const char *const	ITK_FileNotes
const char *const	ITK_FileOriginator
const char *const	ITK_ImageFileBaseName
const char *const	ITK_ImageType
const char *const	ITK_InputFilterName
const char *const	ITK_NumberOfDimensions
const char *const	ITK_OnDiskBitPerPixel
const char *const	ITK_OnDiskStorageTypeName
const char *const	ITK_Origin
const char *const	ITK_OriginationDate
const char *const	ITK_PatientID
const char *const	ITK_PatientName
const char *const	ITK_ScanID
const char *const	ITK_Spacing
const char *const	ITK_VoxelUnits
*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative	kernel
std::vector< unsigned int >	m_ArrayIndex
std::vector< OffsetType >	m_NeighborhoodOffset
RadiusType	m_Radius
unsigned int	m_Size
unsigned	m_StrideTable [Dimension]
*Due to a bug in	MSVC
*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that neighbors in neighbors in etc **par *Order of reference is lowest index to highest index in the neighborhood *For for the indicies refer to the following *	neighbors
*class NeighborhoodIterator *brief Defines iteration of a local N dimensional neighborhood of pixels *across an itk::Image **This class is a loose extension of the Standard Template Library *(STL)*bi-directional iterator concept to\em masks of pixel neighborhoods within *itk *itk::DerivativeOperator< ImageType	operator )
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a	point
static const unsigned long	prime_list [num_primes]
const char *const	ROI_NAME
const char *const	ROI_NUM_SEGMENTS
const char *const	ROI_PLANE
const char *const	ROI_SCAN_ID
const char *const	ROI_X_RESOLUTION
const char *const	ROI_X_SIZE
const char *const	ROI_Y_RESOLUTION
const char *const	ROI_Y_SIZE
const char *const	ROI_Z_RESOLUTION
const char *const	ROI_Z_SIZE
*::size_t	s = iterator.GetStride(1)
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation the order is important *Given two affine transformations T1 and we will say that *precomposing T1 with T2 yields the transformation which applies *T1 to the	source
const char *const	SPM_ROI_SCALE
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation the order is important *Given two affine transformations T1 and	T2
an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the	target
*Affine transformation of a vector but other uses are possible as well **An affine transformation is defined mathematically as a linear *transformation plus a constant offset If A is a constant n x n *matrix and b is a constant n	vector
*Affine transformation of a vector but other uses are possible as well **An affine transformation is defined mathematically as a linear *transformation plus a constant offset If A is a constant n x n *matrix and b is a constant n then	y

---

Typedef Documentation

typedef int itk::FastMutexType

Definition at line 58 of file itkSimpleFastMutexLock.h.

typedef std::vector<std::string> itk::FilenamesContainer

Definition at line 50 of file itkGDCMSeriesFileNames.h.

typedef std::istream itk::InputStreamType

Definition at line 179 of file itkSymmetricSecondRankTensor.h.

typedef void* itk::LibHandle

Definition at line 40 of file itkDynamicLoader.h.

typedef int itk::MutexType

Definition at line 56 of file itkMutexLock.h.

typedef NeighborhoodType::OffsetType itk::OffsetType

Definition at line 73 of file itkSparseFieldLevelSetImageFilter.h.

typedef std::ostream itk::OutputStreamType

This extra typedef is necessary for preventing an Internal Compiler Error in Microsoft Visual C++ 6.0. This typedef is not needed for any other compiler. Definition at line 178 of file itkSymmetricSecondRankTensor.h.

typedef PolygonGroupSpatialObject<3> itk::PGroupSpatialObjectType

Definition at line 30 of file itkPolygonGroupSpatialObjectXMLFile.h.

typedef NeighborhoodType::RadiusType itk::RadiusType

Definition at line 74 of file itkSparseFieldLevelSetImageFilter.h.

typedef int itk::SemaphoreType

Definition at line 83 of file itkSemaphore.h.

typedef std::vector<std::string> itk::SerieUIDContainer

Definition at line 51 of file itkGDCMSeriesFileNames.h.

typedef void(* itk::ThreadFunctionType)(void *)

Note If ITK_USE_PTHREADS is defined, then the multithreaded function is of type void *, and returns NULL Otherwise the type is void which is correct for WIN32 and SPROC. Definition at line 130 of file itkMultiThreader.h.

typedef int itk::ThreadProcessIDType

Definition at line 131 of file itkMultiThreader.h.

---

Enumeration Type Documentation

anonymous enum

Enumeration values: B2_MASKFILE_BLACK  B2_MASKFILE_WHITE  B2_MASKFILE_GRAY  Definition at line 27 of file itkOctree.h.

anonymous enum

Enumeration values: num_primes  Definition at line 246 of file itk_hashtable.h.

enum itk::LeafIdentifier

Enumeration values: ZERO  ONE  TWO  THREE  FOUR  FIVE  SIX  SEVEN  Definition at line 28 of file itkOctreeNode.h.

enum itk::OctreePlaneType

The enumeration to define the planar orientation of the octree Definition at line 36 of file itkOctree.h.

enum itk::PolygonGroupOrientation

enumerates the possible spatial orientations Enumeration values: Axial  Coronal  Sagittal  UserPlane  Unknown  Definition at line 24 of file itkPolygonGroupOrientation.h.

---

Function Documentation

ITKCommon_EXPORT Vector<int,3> itk::CrossProduct (  const Vector< int, 3 > &  , const Vector< int, 3 > &  )

ITKCommon_EXPORT Vector<float,3> itk::CrossProduct (  const Vector< float, 3 > &  , const Vector< float, 3 > &  )

ITKCommon_EXPORT Vector<double,3> itk::CrossProduct (  const Vector< double, 3 > &  , const Vector< double, 3 > &  )

ITKCommon_EXPORT void itk::CrossProduct (  CovariantVector< int, 3 >  , const Vector< int, 3 > &  , const Vector< int, 3 > &  )

ITKCommon_EXPORT void itk::CrossProduct (  CovariantVector< float, 3 > &  , const Vector< float, 3 > &  , const Vector< float, 3 > &  )

ITKCommon_EXPORT void itk::CrossProduct (  CovariantVector< double, 3 > &  , const Vector< double, 3 > &  , const Vector< double, 3 > &  )

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> ptrdiff_t* itk::distance_type (  const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 686 of file itk_hashtable.h.

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> ptrdiff_t* itk::distance_type (  const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 665 of file itk_hashtable.h.

template<class T> void itk::EncapsulateMetaData (  MetaDataDictionary &  Dictionary, const char *  key, const T &  invalue )  [inline]

Definition at line 165 of file itkMetaDataObject.h. References EncapsulateMetaData().

template<class T> * EncapsulateMetaData is a convenience function that encapsulates raw MetaData into a* MetaDataObject that can be put into the MetaDataDictionary* param value the value of type T that is to be encapsulated* return A smartpointer ot a MetaDataObject that is suitable for* insertion into a MetaDataDictionary* void itk::EncapsulateMetaData (  MetaDataDictionary &  Dictionary, const std::string &  key, const T &  invalue )  [inline]

Definition at line 156 of file itkMetaDataObject.h. References HardConnectedComponentImageFilter::New(), and itk::MetaDataObject< MetaDataObjectType >::SetMetaDataObjectValue(). Referenced by EncapsulateMetaData().

template<class T> bool itk::ExposeMetaData (  MetaDataDictionary &  Dictionary, const char *const   key, T &  outval )  [inline]

Definition at line 230 of file itkMetaDataObject.h. References ExposeMetaData().

template<class T> bool itk::ExposeMetaData (  MetaDataDictionary &  Dictionary, const std::string  key, T &  outval )  [inline]

FindValInDictionary provides a shortcut for pulling a value of type T out of a MetaDataDictionary. If Dictionary[key] isn't set, return false, otherwise copy into outval reference and return true. Parameters: Dictionary  -- reference to a dictionary key  -- string identifier for this object outval  -- where to store value found in table. Definition at line 180 of file itkMetaDataObject.h. References itk::MetaDataObject< MetaDataObjectType >::GetMetaDataObjectValue(), itk::MetaDataDictionary::HasKey(), and name(). Referenced by ExposeMetaData().

const unsigned int& itk::GetArrayIndex (  unsigned int  i  )  const

Definition at line 82 of file itkSparseFieldLevelSetImageFilter.h. References m_ArrayIndex.

const OffsetType& itk::GetNeighborhoodOffset (  unsigned int  i  )  const

Definition at line 85 of file itkSparseFieldLevelSetImageFilter.h. References m_NeighborhoodOffset.

const RadiusType& itk::GetRadius (   )  const

Definition at line 79 of file itkSparseFieldLevelSetImageFilter.h. References m_Radius.

const unsigned int& itk::GetSize (   )  const

Definition at line 88 of file itkSparseFieldLevelSetImageFilter.h. References m_Size.

int itk::GetStride (  unsigned int  i  )

Definition at line 91 of file itkSparseFieldLevelSetImageFilter.h. References m_StrideTable. Referenced by itk::ConstNeighborhoodIterator< FixedImageType >::GetNext(), itk::ConstNeighborhoodIterator< FixedImageType >::GetPrevious(), itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetNext(), and itk::NeighborhoodIterator< TImage, TBoundaryCondition >::SetPrevious().

Make a Fourier series path trace a chain code path of same dimensionality* numHarmonics is the number of itk::harmonics (  frequency  coefficients, which *include the"DC"  term )

vcl_size_t itk::hash_string (  const char *  s  )  [inline]

Definition at line 92 of file itk_hashtable.h. Referenced by itk::hash< const char * >::operator()(), and itk::hash< char * >::operator()().

* * itk::NeighborhoodIterator<ImageType>* itk::iterator (  operator->  GetRadius(), myImage  , myImage->  GetRequestedRegion() )

Referenced by itk::fem::FEMPArray< T >::Find(), itk::CellInterface< TPixelType, TCellTraits >::MultiVisitor::GetVisitor(), itk::Statistics::Subsample< TSample >::InitializeWithAllInstances(), main(), PrintAvailableTests(), and itk::fem::FEMPArray< T >::Renumber().

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> std::forward_iterator_tag itk::iterator_category (  const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 672 of file itk_hashtable.h.

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> std::forward_iterator_tag itk::iterator_category (  const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 651 of file itk_hashtable.h.

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative * involves setting the order and direction of the derivative we* create an iterator over the RequestedRegion of the itk::itk::Image (  see  Image  )

itk::ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (  unsigned  int  )

itk::ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (  signed  int  )

itk::ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (  double   )

itk::ITK_DEFAULTCONVERTTRAITS_COMPLEX_TYPE (  float   )

itk::ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (  FixedArray   )

itk::ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (  Point   )

itk::ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (  CovariantVector   )

itk::ITK_DEFAULTCONVERTTRAITS_FIXEDARRAY_TYPE_ALL_TYPES_MACRO (  Vector   )

itk::ObjectFactoryBase* itk::itkLoad (   )

itk::itkStaticConstMacro (  Dimension  , unsigned  int, NeighborhoodType::Dimension  )

template<class TChainCodePath, class TPathInput> void itk::MakeChainCodeTracePath (  TChainCodePath &  chainPath, const TPathInput &  inPath, bool  restrictMovement = false )

Make a chain code trace another path of same dimensionality. If restrictMovement is true, then individual steps are allowed to move through only one dimension at a time; for 2D paths this results in an 8-connected chain code. Definition at line 42 of file itkPathFunctions.h. References d, and dimension.

Make a Fourier series path trace a chain code path of same dimensionality* numHarmonics is the number of then as many harmonics* as class TChainCodePath void itk::MakeFourierSeriesPathTraceChainCode (  TFourierSeriesPath &  FSPath, const TChainCodePath &  chainPath, unsigned int  numHarmonics = 8 )

Definition at line 92 of file itkPathFunctions.h. References d, dimension, and M_PI.

float itk::MvtSunf (  int  numb  )

unsigned long itk::next_prime (  unsigned long  n  )  [inline]

Definition at line 273 of file itk_hashtable.h. References num_primes, and prime_list.

* class SparseFieldCityBlockNeighborList* * brief A convenience class for storing indicies which reference neighbor* pixels within a neighborhood* * par* This class creates and stores indicies for use in finding neighbors within* an itk::NeighborhoodIterator object Both an array of unsigned integer* indicies and an array of N dimensional itk::offsets (  from the center of the *  neighborhood  )

template<class T, unsigned int NVectorDimension> Vector<T,NVectorDimension> itk::operator * (  const T &  scalar, const Vector< T, NVectorDimension > &  v )  [inline]

Premultiply Operator for product of a vector and a scalar. Vector< T, N > = T * Vector< T,N > Definition at line 241 of file itkVector.h.

template<class TValueType, class T> VariableLengthVector<TValueType> itk::operator * (  const T &  scalar, const VariableLengthVector< TValueType > &  v )  [inline]

Premultiply Operator for product of a VariableLengthVector and a scalar. VariableLengthVector< TValueType > = T * VariableLengthVector< TValueType > Definition at line 407 of file itkVariableLengthVector.h.

template<typename TValueType, unsigned int VLength> SymmetricSecondRankTensor< TValueType, VLength> itk::operator * (  double  d, const SymmetricSecondRankTensor< TValueType, VLength > &  f )  [inline]

Definition at line 190 of file itkSymmetricSecondRankTensor.h. References d.

template<class T, unsigned int NVectorDimension> CovariantVector<T,NVectorDimension> itk::operator * (  const T &  scalar, const CovariantVector< T, NVectorDimension > &  v )  [inline]

Premultiply Operator for product of a vector and a scalar. CovariantVector< T, N > = T * CovariantVector< T,N > Definition at line 238 of file itkCovariantVector.h.

template<class TImage> ConstNeighborhoodIterator<TImage> itk::operator+ (  const typename ConstNeighborhoodIterator< TImage >::OffsetType &  ind, const ConstNeighborhoodIterator< TImage > &  it )  [inline]

Definition at line 533 of file itkConstNeighborhoodIterator.h.

template<class TImage> ConstNeighborhoodIterator<TImage> itk::operator+ (  const ConstNeighborhoodIterator< TImage > &  it, const typename ConstNeighborhoodIterator< TImage >::OffsetType &  ind )  [inline]

Definition at line 521 of file itkConstNeighborhoodIterator.h.

template<class TImage> ConstNeighborhoodIterator<TImage> itk::operator- (  const ConstNeighborhoodIterator< TImage > &  it, const typename ConstNeighborhoodIterator< TImage >::OffsetType &  ind )  [inline]

Definition at line 540 of file itkConstNeighborhoodIterator.h.

* itk::operator->CreateDirectional (   )

* itk::operator->SetDirection (  0   )

* itk::operator->SetOrder (  1   )

std::ostream& itk::operator<< (  std::ostream &  os, MultivariateLegendrePolynomial &  poly )

std::ostream& itk::operator<< (  std::ostream &  os, const ImageIORegion &  region )

template<typename T> std::ostream& itk::operator<< (  std::ostream &  os, WeakPointer< T >  p )

Definition at line 131 of file itkWeakPointer.h.

template<class T> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const Versor< T > &  v )

Definition at line 271 of file itkVersor.h. References itk::Versor< T >::GetW(), itk::Versor< T >::GetX(), itk::Versor< T >::GetY(), and itk::Versor< T >::GetZ().

template<class T, unsigned int NVectorDimension> std::ostream& itk::operator<< (  std::ostream &  os, const Vector< T, NVectorDimension > &  v )

template<class T> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const VariableSizeMatrix< T > &  v )

Definition at line 177 of file itkVariableSizeMatrix.h. References itk::VariableSizeMatrix< T >::GetVnlMatrix().

template<typename TValueType> std::ostream& itk::operator<< (  std::ostream &  os, const VariableLengthVector< TValueType > &  arr )

Definition at line 414 of file itkVariableLengthVector.h. References itk::VariableLengthVector< TValueType >::Size().

template<typename T> std::ostream& itk::operator<< (  std::ostream &  os, TreeIteratorClone< T >  p )

Definition at line 159 of file itkTreeIteratorClone.h.

template<typename TComponent, unsigned int NDimension> ITK_EXPORT OutputStreamType& itk::operator<< (  OutputStreamType &  os, const SymmetricSecondRankTensor< TComponent, NDimension > &  c )

template<typename TMatrix, typename TVector, typename TEigenMatrix> std::ostream& itk::operator<< (  std::ostream &  os, const SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix > &  s )

Definition at line 315 of file itkSymmetricEigenAnalysis.h. References itk::SymmetricEigenAnalysis< TMatrix, TVector, TEigenMatrix >::GetOrder().

template<typename T> std::ostream& itk::operator<< (  std::ostream &  os, SmartPointerForwardReference< T >  p )

Definition at line 110 of file itkSmartPointerForwardReference.h.

template<typename T> std::ostream& itk::operator<< (  std::ostream &  os, SmartPointer< T >  p )

Definition at line 158 of file itkSmartPointer.h.

template<unsigned int VDimension> std::ostream& itk::operator<< (  std::ostream &  os, const Size< VDimension > &  size )

Definition at line 204 of file itkSize.h.

template<typename TComponent> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const RGBPixel< TComponent > &  c )

template<typename TComponent> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const RGBAPixel< TComponent > &  c )

template<class T, unsigned int NPointDimension> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const Point< T, NPointDimension > &  v )

template<unsigned int VOffsetDimension> std::ostream& itk::operator<< (  std::ostream &  os, const Offset< VOffsetDimension > &  ind )

Definition at line 210 of file itkOffset.h.

template<class TPixel> std::ostream& itk::operator<< (  std::ostream &  o, const NeighborhoodAllocator< TPixel > &  a )  [inline]

Definition at line 138 of file itkNeighborhoodAllocator.h.

template<class TPixel, unsigned int VDimension, class TContainer> std::ostream& itk::operator<< (  std::ostream &  os, const Neighborhood< TPixel, VDimension, TContainer > &  neighborhood )

Definition at line 263 of file itkNeighborhood.h.

template<class T, unsigned int NRows, unsigned int NColumns> ITK_EXPORT std::ostream& itk::operator<< (  std::ostream &  os, const Matrix< T, NRows, NColumns > &  v )

Definition at line 175 of file itkMatrix.h. References itk::Matrix< T, NRows, NColumns >::GetVnlMatrix().

template<unsigned int VIndexDimension> std::ostream& itk::operator<< (  std::ostream &  os, const Index< VIndexDimension > &  ind )

Definition at line 321 of file itkIndex.h.

template<unsigned int VImageDimension> std::ostream& itk::operator<< (  std::ostream &  os, const ImageRegion< VImageDimension > &  region )

template<typename TValueType, unsigned int VLength> std::ostream& itk::operator<< (  std::ostream &  os, const FixedArray< TValueType, VLength > &  arr )

template<typename T> std::ostream& itk::operator<< (  std::ostream &  os, AutoPointer< T >  p )

Definition at line 220 of file itkAutoPointer.h.

template<typename TValueType> std::ostream& itk::operator<< (  std::ostream &  os, const Array2D< TValueType > &  arr )

Definition at line 77 of file itkArray2D.h.

template<typename TValueType> std::ostream& itk::operator<< (  std::ostream &  os, const Array< TValueType > &  arr )

Definition at line 141 of file itkArray.h.

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> IUEi_STL_INLINE bool itk::operator== (  hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc >const &  , hashtable< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc >const &  )

Definition at line 695 of file itk_hashtable.h. References itk::hashtable_base< Value, Alloc >::buckets.

template<class Value, class HashFcn, class EqualKey, class Alloc> bool itk::operator== (  const hash_multiset< Value, HashFcn, EqualKey, Alloc > &  hs1, const hash_multiset< Value, HashFcn, EqualKey, Alloc > &  hs2 )  [inline]

Definition at line 304 of file itk_hash_set.h. References itk::hash_multiset< Value,,, >::rep.

template<class Value, class HashFcn, class EqualKey, class Alloc> bool itk::operator== (  const hash_set< Value, HashFcn, EqualKey, Alloc > &  hs1, const hash_set< Value, HashFcn, EqualKey, Alloc > &  hs2 )  [inline]

Definition at line 297 of file itk_hash_set.h. References itk::hash_set< Value,,, >::rep.

template<class Key, class T, class HashFcn, class EqualKey, class Alloc> bool itk::operator== (  const hash_multimap< Key, T, HashFcn, EqualKey, Alloc > &  hm1, const hash_multimap< Key, T, HashFcn, EqualKey, Alloc > &  hm2 )  [inline]

Definition at line 318 of file itk_hash_map.h. References itk::hash_multimap< Key, T,,, >::rep.

template<class Key, class T, class HashFcn, class EqualKey, class Alloc> bool itk::operator== (  const hash_map< Key, T, HashFcn, EqualKey, Alloc > &  hm1, const hash_map< Key, T, HashFcn, EqualKey, Alloc > &  hm2 )  [inline]

Definition at line 311 of file itk_hash_map.h. References itk::hash_map< Key, T,,, >::rep. Referenced by itk::SliceIterator< TPixel, TContainer >::operator!=(), itk::FixedArray::operator!=(), and itk::ConstSliceIterator< TPixel, TContainer >::operator!=().

template<class T> ITK_EXPORT std::istream& itk::operator>> (  std::istream &  is, Versor< T > &  v )

template<class T, unsigned int NVectorDimension> std::istream& itk::operator>> (  std::istream &  is, Vector< T, NVectorDimension > &  v )

template<typename TComponent, unsigned int NDimension> ITK_EXPORT InputStreamType& itk::operator>> (  InputStreamType &  is, SymmetricSecondRankTensor< TComponent, NDimension > &  c )

template<typename TComponent> ITK_EXPORT std::istream& itk::operator>> (  std::istream &  is, RGBPixel< TComponent > &  c )

template<typename TComponent> ITK_EXPORT std::istream& itk::operator>> (  std::istream &  is, RGBAPixel< TComponent > &  c )

template<class T, unsigned int NPointDimension> ITK_EXPORT std::istream& itk::operator>> (  std::istream &  is, Point< T, NPointDimension > &  v )

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative * involves setting the order and direction of the derivative we* create an iterator over the RequestedRegion of the iterator pointer style STL and the increased* overhead required to conform to the complete STL API is not always* justified* * The API for creating and manipulating a NeighborhoodIterator mimics* that of the itk::ImageIterators Like the a* ConstNeighborhoodIterator is defined on a region of interest in an itk::Image* Iteration is constrained within that region of interest* * A NeighborhoodIterator is constructed as a container of itk::pointers (  offsets   )

Make a Fourier series path trace a chain code path of same dimensionality* numHarmonics is the number of then as many harmonics* as itk::possible (  chainPath->NumberOfSteps()/  2  )

void itk::Print (  std::ostream &  os  )  const

*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the iterator itk::SetToBegin (   )

* Affine transformation of a vector itk::space (  e.g.space  coordinates  )

itk::SparseFieldCityBlockNeighborList (   )

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the and b* defines the translation of the origin from the source to the* target More A can also define anisotropic scaling and* shearing transformations Any good textbook on computer graphics* will discuss coordinate transformations in more detail Several of* the methods in this class are designed for this purpose and use the* language appropriate to coordinate conversions* * Any two affine transformations may be composed and the result is* another affine transformation the order is important* Given two affine transformations T1 and we will say that* precomposing T1 with T2 yields the transformation which applies* T1 to the and then applies T2 to that result to obtain the* target we will say that postcomposing T1 with T2* yields the transformation which applies T2 to the and then* applies T1 to that result to obtain the itk::target (  Whether T1 or T2 *comes first lexicographically depends on whether you choose to *write mappings from right-to-left or vice versa;we avoid the whole *problem by referring to the order of application rather than the *textual  order.  )

Standard typedefs Run-time type information (and related methods). New macro for creation of through a Smart Pointer Dimension of the domain space. Parameters Type Compose affine transformation with a translation This method modifies self to include a translation of the origin. The translation is precomposed with self if pre is true, and postcomposed otherwise. This updates Translation based on current center. Compose affine transformation with a scaling This method modifies self to magnify the source by a given factor along each axis. If all factors are the same, or only a single factor is given, then the scaling is isotropic; otherwise it is anisotropic. If an odd number of factors are negative, then the parity of the image changes. If any of the factors is zero, then the transformation becomes a projection and is not invertible. The scaling is precomposed with self if pre is true, and postcomposed otherwise. Note that the scaling is applied centered at the origin. Compose affine transformation with an elementary rotation This method composes self with a rotation that affects two specified axes, replacing the current value of self. The rotation angle is in radians. The axis of rotation goes through the origin. The transformation is given by y[axis1] = vcl_cos(angle)*x[axis1] + vcl_sin(angle)*x[axis2] y[axis2] = -sin(angle)*x[axis1] + vcl_cos(angle)*x[axis2]. All coordinates other than axis1 and axis2 are unchanged; a rotation of pi/2 radians will carry +axis1 into +axis2. The rotation is precomposed with self if pre is true, and postcomposed otherwise. Note that the rotation is applied centered at the origin. Compose 2D affine transformation with a rotation This method composes self, which must be a 2D affine transformation, with a clockwise rotation through a given angle in radians. The center of rotation is the origin. The rotation is precomposed with self if pre is true, and postcomposed otherwise. Note that the rotation is applied centered at the origin. Warning: Only to be use in two dimensions Todo: Find a way to generate a compile-time error is this is used with NDimensions != 2. Compose 3D affine transformation with a rotation This method composes self, which must be a 3D affine transformation, with a clockwise rotation around a specified axis. The rotation angle is in radians; the axis of rotation goes through the origin. The rotation is precomposed with self if pre is true, and postcomposed otherwise. Note that the rotation is applied centered at the origin. Warning: Only to be used in dimension 3 Todo: Find a way to generate a compile-time error is this is used with NDimensions != 3. Compose affine transformation with a shear This method composes self with a shear transformation, replacing the original contents of self. The shear is precomposed with self if pre is true, and postcomposed otherwise. The transformation is given by y[axis1] = x[axis1] + coef*x[axis2] y[axis2] = x[axis2]. Note that the shear is applied centered at the origin. Back transform by an affine transformation This method finds the point or vector that maps to a given point or vector under the affine transformation defined by self. If no such point exists, an exception is thrown. Deprecated: Please use GetInverseTransform and then call the forward transform function Back transform a point by an affine transform This method finds the point that maps to a given point under the affine transformation defined by self. If no such point exists, an exception is thrown. The returned value is (a pointer to) a brand new point created with new. Deprecated: Please use GetInverseTransform and then call the forward transform function Compute distance between two affine transformations This method computes a ``distance'' between two affine transformations. This distance is guaranteed to be a metric, but not any particular metric. (At the moment, the algorithm is to collect all the elements of the matrix and offset into a vector, and compute the euclidean (L2) norm of that vector. Some metric which could be used to estimate the distance between two points transformed by the affine transformation would be more useful, but I don't have time right now to work out the mathematical details.) This method computes the distance from self to the identity transformation, using the same metric as the one-argument form of the Metric() method. Construct an AffineTransform object This method constructs a new AffineTransform object and initializes the matrix and offset parts of the transformation to values specified by the caller. If the arguments are omitted, then the AffineTransform is initialized to an identity transformation in the appropriate number of dimensions. Destroy an AffineTransform object Print contents of an AffineTransform Definition at line 74 of file itkAffineTransform.h.

template<typename TAutoPointerBase, typename TAutoPointerDerived> This templated function is intended to facilitate the transfer between AutoPointers of Derived class to Base class* void ITK_EXPORT itk::TransferAutoPointer (  TAutoPointerBase &  pa, TAutoPointerDerived &  pb )

Definition at line 232 of file itkAutoPointer.h.

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> Value* itk::value_type (  const hashtable_const_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 679 of file itk_hashtable.h.

template<class Value, class Key, class HashFcn, class ExtractKey, class EqualKey, class Alloc> Value* itk::value_type (  const hashtable_iterator< Value, Key, HashFcn, ExtractKey, EqualKey, Alloc > &   )  [inline]

Definition at line 658 of file itk_hashtable.h. Referenced by itk::hash_map< unsigned long, segment_t, itk::hash< unsigned long > >::operator[]().

* itk::while (  !iterator.  IsAtEnd()  )

Definition at line 61 of file itkNeighborhoodIterator.h.

itk::~SparseFieldCityBlockNeighborList (   )

Definition at line 95 of file itkSparseFieldLevelSetImageFilter.h.

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Variable Documentation

const char* const itk::ANALYZE_AUX_FILE_NAME

const char* const itk::ANALYZE_CAL_MAX

const char* const itk::ANALYZE_CAL_MIN

const char* const itk::ANALYZE_CALIBRATIONUNITS

const char* const itk::ANALYZE_GLMAX

const char* const itk::ANALYZE_GLMIN

const char* const itk::ANALYZE_O_MAX

const char* const itk::ANALYZE_O_MIN

const char* const itk::ANALYZE_S_MAX

const char* const itk::ANALYZE_S_MIN

const char* const itk::ANALYZE_ScanNumber

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this* itk::application

Definition at line 56 of file itkAffineTransform.h.

* class SparseFieldCityBlockNeighborList* * brief A convenience class for storing indicies which reference neighbor* pixels within a neighborhood* * par* This class creates and stores indicies for use in finding neighbors within* an itk::NeighborhoodIterator object Both an array of unsigned integer* indicies and an array of N dimensional that neighbors in neighbors in etc* * par* Order of reference is lowest index to highest index in the neighborhood* For for itk::connectivity

Definition at line 53 of file itkSparseFieldLevelSetImageFilter.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the and b* defines the translation of the origin from the source to the* target More A can also define anisotropic scaling and* shearing transformations Any good textbook on computer graphics* will discuss coordinate transformations in more detail Several of* the methods in this class are designed for this purpose and use the* language appropriate to coordinate conversions* * Any two affine transformations may be composed and the result is* another affine transformation the order is important* Given two affine transformations T1 and we will say that* precomposing T1 with T2 yields the transformation which applies* T1 to the and then applies T2 to that result to obtain the* target itk::Conversely

Definition at line 64 of file itkAffineTransform.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target itk::coordinates

Definition at line 56 of file itkAffineTransform.h.

*class SparseFieldCityBlockNeighborList **brief A convenience class for storing indicies which reference neighbor *pixels within a neighborhood **par *This class creates and stores indicies for use in finding neighbors within *an itk::NeighborhoodIterator object Both an array of unsigned integer *indicies and an array of N dimensional that neighbors in neighbors in * itk::d

Definition at line 53 of file itkSparseFieldLevelSetImageFilter.h. Referenced by MakeChainCodeTracePath(), MakeFourierSeriesPathTraceChainCode(), and operator *().

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative itk::DerivativeOperator

Definition at line 72 of file itkNeighborhoodIterator.h.

* Due to a bug in an enum value cannot be accessed out of a template* parameter until the template class opens:: In order for templated classes* to access the dimension of an image template parameter in defining their* own itk::dimension

Definition at line 39 of file itkMesh.h. Referenced by MakeChainCodeTracePath(), and MakeFourierSeriesPathTraceChainCode().

*endcode **Most of the work for the programmer in the code above is in setting up for *the iteration There are three steps First an inner product function *object is created which will be used to effect convolution with the *derivative kernel Setting up the derivative *involves setting the order and direction of the derivative we *create an iterator over the RequestedRegion of the iterator pointer style STL and the increased *overhead required to conform to the complete STL API is not always *justified **The API for creating and manipulating a NeighborhoodIterator mimics *that of the itk::ImageIterators Like the a *ConstNeighborhoodIterator is defined on a region of interest in an itk::Image *Iteration is constrained within that region of interest **A NeighborhoodIterator is constructed as a container of the neighboring pixel pointers *offsets are moved accordingly **A em pixel em neighborhood is defined as a central pixel location and an *N dimensional radius extending outward from that location *Pixels in a neighborhood can be accessed through a NeighborhoodIterator *like elements in an array For itk::example

Definition at line 99 of file itkNeighborhoodIterator.h.

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative * involves setting the order and direction of the derivative itk::Finally

Definition at line 72 of file itkNeighborhoodIterator.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the and b* defines the translation of the origin from the source to the* target More itk::generally

Definition at line 56 of file itkAffineTransform.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the and b* defines the translation of the origin from the source to the* target More A can also define anisotropic scaling and* shearing transformations Any good textbook on computer graphics* will discuss coordinate transformations in more detail Several of* the methods in this class are designed for this purpose and use the* language appropriate to coordinate conversions* * Any two affine transformations may be composed and the result is* another affine transformation itk::However

Definition at line 64 of file itkAffineTransform.h.

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative * involves setting the order and direction of the derivative we* create an iterator over the RequestedRegion of the iterator pointer style STL and the increased* overhead required to conform to the complete STL API is not always* justified* * The API for creating and manipulating a NeighborhoodIterator mimics* that of the itk::ImageIterators Like the a* ConstNeighborhoodIterator is defined on a region of interest in an itk::Image* Iteration is constrained within that region of interest* * A NeighborhoodIterator is constructed as a container of the neighboring pixel pointers* offsets are moved accordingly* * A em pixel em neighborhood is defined as a central pixel location and an* N dimensional radius extending outward from that location* Pixels in a neighborhood can be accessed through a NeighborhoodIterator* like elements in an array For a D neighborhood with radius x1* has itk::indices

Definition at line 99 of file itkNeighborhoodIterator.h.

* class SparseFieldCityBlockNeighborList* * brief A convenience class for storing indicies which reference neighbor* pixels within a neighborhood* * par* This class creates and stores indicies for use in finding neighbors within* an itk::NeighborhoodIterator object Both an array of unsigned integer* indicies and an array of N dimensional that itk::is

Definition at line 53 of file itkSparseFieldLevelSetImageFilter.h.

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative * involves setting the order and direction of the derivative we* create an iterator over the RequestedRegion of the iterator pointer style STL itk::iterators

Definition at line 80 of file itkNeighborhoodIterator.h.

const char* const itk::ITK_CoordinateOrientation

const char* const itk::ITK_ExperimentDate

const char* const itk::ITK_ExperimentTime

const char* const itk::ITK_FileNotes

const char* const itk::ITK_FileOriginator

const char* const itk::ITK_ImageFileBaseName

const char* const itk::ITK_ImageType

const char* const itk::ITK_InputFilterName

const char* const itk::ITK_NumberOfDimensions

const char* const itk::ITK_OnDiskBitPerPixel

const char* const itk::ITK_OnDiskStorageTypeName

const char* const itk::ITK_Origin

const char* const itk::ITK_OriginationDate

const char* const itk::ITK_PatientID

const char* const itk::ITK_PatientName

const char* const itk::ITK_ScanID

const char* const itk::ITK_Spacing

const char* const itk::ITK_VoxelUnits

* endcode* * Most of the work for the programmer in the code above is in setting up for* the iteration There are three steps First an inner product function* object is created which will be used to effect convolution with the* derivative kernel Setting up the derivative itk::kernel

Definition at line 72 of file itkNeighborhoodIterator.h.

std::vector<unsigned int> itk::m_ArrayIndex

Definition at line 102 of file itkSparseFieldLevelSetImageFilter.h. Referenced by GetArrayIndex(), itk::ParallelSparseFieldCityBlockNeighborList::GetArrayIndex(), and itk::ParallelSparseFieldCityBlockNeighborList::~ParallelSparseFieldCityBlockNeighborList().

std::vector<OffsetType> itk::m_NeighborhoodOffset

Definition at line 103 of file itkSparseFieldLevelSetImageFilter.h. Referenced by GetNeighborhoodOffset(), itk::ParallelSparseFieldCityBlockNeighborList::GetNeighborhoodOffset(), and itk::ParallelSparseFieldCityBlockNeighborList::~ParallelSparseFieldCityBlockNeighborList().

RadiusType itk::m_Radius

Definition at line 101 of file itkSparseFieldLevelSetImageFilter.h. Referenced by itk::AdaptiveHistogramEqualizationImageFilter< TImageType >::AdaptiveHistogramEqualizationImageFilter(), itk::BilateralImageFilter< TInputImage, TOutputImage >::BilateralImageFilter(), itk::FiniteDifferenceFunction< TSparseImageType >::FiniteDifferenceFunction(), GetRadius(), itk::ParallelSparseFieldCityBlockNeighborList::GetRadius(), itk::Statistics::NeighborhoodSampler< TSample >::GetRadius(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::GetRadius(), itk::FiniteDifferenceFunction< TSparseImageType >::GetRadius(), itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >::GetRadius(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::Neighborhood(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::operator!=(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::operator==(), itk::Statistics::NeighborhoodSampler< TSample >::SetRadius(), itk::FiniteDifferenceFunction< TSparseImageType >::SetRadius(), and itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::SetSize().

unsigned int itk::m_Size

Definition at line 100 of file itkSparseFieldLevelSetImageFilter.h. Referenced by itk::ExtractOrthogonalSwath2DImageFilter< TImage >::ExtractOrthogonalSwath2DImageFilter(), itk::Size< VSpaceDimension >::Fill(), itk::Size< VSpaceDimension >::GetElement(), itk::ImageIORegion::GetRegionDimension(), itk::Statistics::VariableDimensionHistogram< TMeasurement, TFrequencyContainer >::GetSize(), GetSize(), itk::ParallelSparseFieldCityBlockNeighborList::GetSize(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::GetSize(), itk::ImageRegion< TDimension >::GetSize(), itk::ImageIORegion::GetSize(), itk::Statistics::Histogram::GetSize(), itk::ImageIORegion::ImageIORegion(), itk::ImageRegion< TDimension >::ImageRegion(), itk::ImageRegion< TDimension >::IsInside(), itk::ImageIORegion::IsInside(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::Neighborhood(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::operator!=(), itk::ImageRegion< TDimension >::operator!=(), itk::ImageIORegion::operator!=(), itk::Size< VSpaceDimension >::operator+(), itk::Size< VSpaceDimension >::operator+=(), itk::Size< VSpaceDimension >::operator-(), itk::Size< VSpaceDimension >::operator-=(), itk::ImageRegion< TDimension >::operator=(), itk::ImageIORegion::operator=(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::operator==(), itk::ImageRegion< TDimension >::operator==(), itk::ImageIORegion::operator==(), itk::SparseFieldLayer< TNodeType >::PopFront(), itk::SparseFieldLayer< TNodeType >::PushFront(), itk::Size< VSpaceDimension >::SetElement(), itk::Size< VSpaceDimension >::SetSize(), itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::SetSize(), itk::ImageRegion< TDimension >::SetSize(), itk::ImageIORegion::SetSize(), itk::Statistics::KdTreeWeightedCentroidNonterminalNode::Size(), and itk::SparseFieldLayer< TNodeType >::Unlink().

unsigned itk::m_StrideTable[Dimension]

An internal table for keeping track of stride lengths in a neighborhood, i.e. the memory offsets between pixels along each dimensional axis. Definition at line 107 of file itkSparseFieldLevelSetImageFilter.h. Referenced by GetStride(), itk::ParallelSparseFieldCityBlockNeighborList::GetStride(), and itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::GetStride().

* Due to a bug in itk::MSVC

Definition at line 38 of file itkMesh.h.

* class SparseFieldCityBlockNeighborList* * brief A convenience class for storing indicies which reference neighbor* pixels within a neighborhood* * par* This class creates and stores indicies for use in finding neighbors within* an itk::NeighborhoodIterator object Both an array of unsigned integer* indicies and an array of N dimensional that neighbors in neighbors in etc* * par* Order of reference is lowest index to highest index in the neighborhood* For for the indicies refer to the following* itk::neighbors

Definition at line 53 of file itkSparseFieldLevelSetImageFilter.h.

* class NeighborhoodIterator* brief Defines iteration of a local N dimensional neighborhood of pixels* across an itk::Image* * This class is a loose extension of the Standard Template Library* (STL) * bi-directional iterator concept to \em masks of pixel neighborhoods within * itk * itk::DerivativeOperator<ImageType itk::operator)

Definition at line 32 of file itkNeighborhoodIterator.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a itk::point

Definition at line 56 of file itkAffineTransform.h.

const unsigned long itk::prime_list[num_primes] [static]

Initial value: { 53, 97, 193, 389, 769, 1543, 3079, 6151, 12289, 24593, 49157, 98317, 196613, 393241, 786433, 1572869, 3145739, 6291469, 12582917, 25165843, 50331653, 100663319, 201326611, 402653189, 805306457, 1610612741, 3221225473U, 4294967291U } Definition at line 261 of file itk_hashtable.h. Referenced by itk::hashtable< Value, Value, HashFcn, std::identity< Value >, EqualKey, Alloc >::elems_in_bucket(), and next_prime().

const char* const itk::ROI_NAME

const char* const itk::ROI_NUM_SEGMENTS

const char* const itk::ROI_PLANE

const char* const itk::ROI_SCAN_ID

const char* const itk::ROI_X_RESOLUTION

const char* const itk::ROI_X_SIZE

const char* const itk::ROI_Y_RESOLUTION

const char* const itk::ROI_Y_SIZE

const char* const itk::ROI_Z_RESOLUTION

const char* const itk::ROI_Z_SIZE

* ::size_t itk::s = iterator.GetStride(1)

Definition at line 126 of file itkNeighborhoodIterator.h. Referenced by itk::Statistics::MersenneTwisterRandomVariateGenerator::Initialize(), itk::Statistics::MersenneTwisterRandomVariateGenerator::PrintSelf(), and itk::Neighborhood< TImage::InternalPixelType *,::itk::GetImageDimension< TImage >::ImageDimension >::SetRadius().

an object of type Vector transforms as *a vector **One common use of affine transformations is to define coordinate *conversions in two and three dimensional space In this x is a two or three dimensional vector containing the *source coordinates of a y is a vector containing the *target the matrix A defines the scaling and rotation *of the coordinate systems from the source to the and b *defines the translation of the origin from the source to the *target More A can also define anisotropic scaling and *shearing transformations Any good textbook on computer graphics *will discuss coordinate transformations in more detail Several of *the methods in this class are designed for this purpose and use the *language appropriate to coordinate conversions **Any two affine transformations may be composed and the result is *another affine transformation the order is important *Given two affine transformations T1 and we will say that *precomposing T1 with T2 yields the transformation which applies *T1 to the and then applies T2 to that result to obtain the *target we will say that postcomposing T1 with T2 *yields the transformation which applies T2 to the itk::source

Definition at line 64 of file itkAffineTransform.h.

const char* const itk::SPM_ROI_SCALE

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the and b* defines the translation of the origin from the source to the* target More A can also define anisotropic scaling and* shearing transformations Any good textbook on computer graphics* will discuss coordinate transformations in more detail Several of* the methods in this class are designed for this purpose and use the* language appropriate to coordinate conversions* * Any two affine transformations may be composed and the result is* another affine transformation the order is important* Given two affine transformations T1 and itk::T2

Definition at line 64 of file itkAffineTransform.h.

an object of type Vector transforms as* a vector* * One common use of affine transformations is to define coordinate* conversions in two and three dimensional space In this x is a two or three dimensional vector containing the* source coordinates of a y is a vector containing the* target the matrix A defines the scaling and rotation* of the coordinate systems from the source to the itk::target

Definition at line 56 of file itkAffineTransform.h.

* Affine transformation of a vector but other uses are possible as well* * An affine transformation is defined mathematically as a linear* transformation plus a constant offset If A is a constant n x n* matrix and b is a constant n itk::vector

Definition at line 43 of file itkAffineTransform.h.

* Affine transformation of a vector but other uses are possible as well* * An affine transformation is defined mathematically as a linear* transformation plus a constant offset If A is a constant n x n* matrix and b is a constant n then itk::y

Initial value: Ax+b defines an * affine transformation from the n-vector x to the n-vector y. * * The difference between two points is a vector and transforms * linearly Definition at line 43 of file itkAffineTransform.h.

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