itk::watershed::Segmenter< TInputImage > Class Template Reference

#include <itkWatershedSegmenter.h>

Inheritance diagram for itk::watershed::Segmenter< TInputImage >:

[legend]Collaboration diagram for itk::watershed::Segmenter< TInputImage >:

[legend]List of all members.

template<class TInputImage>
class itk::watershed::Segmenter< TInputImage >

Public Types
typedef BoundaryType::FlatHashValueType	BoundaryFlatHashValueType
typedef BoundaryType::IndexType	BoundaryIndexType
typedef Boundary< InputPixelType, itkGetStaticConstMacro(ImageDimension)	BoundaryType )
typedef BoundaryType::Pointer	BoundaryTypePointer
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector< DataObjectPointer >	DataObjectPointerArray
typedef InputImageType::RegionType	ImageRegionType
typedef InputImageType::Pointer	InputImageTypePointer
typedef InputImageType::PixelType	InputPixelType
typedef Image< unsigned long, itkGetStaticConstMacro(ImageDimension)	OutputImageType )
typedef OutputImageType::Pointer	OutputImageTypePointer
typedef SmartPointer< Self >	Pointer
typedef SegmentTable< InputPixelType >	SegmentTableType
typedef SegmentTableType::Pointer	SegmentTableTypePointer
typedef Segmenter	Self
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
void	GenerateData ()
virtual const bool &	GetAbortGenerateData ()
Returns the boundary information data necessary only for data streaming applications *BoundaryType *	GetBoundary (void)
Command *	GetCommand (unsigned long tag)
virtual unsigned long	GetCurrentLabel ()
bool	GetDebug () const
virtual bool	GetDoBoundaryAnalysis ()
Get Set the input image *InputImageType *	GetInputImage (void)
DataObjectPointerArray &	GetInputs ()
ImageRegionType	GetLargestPossibleRegion () const
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
std::vector< DataObjectPointer >::size_type	GetNumberOfInputs () const
std::vector< DataObjectPointer >::size_type	GetNumberOfOutputs () const
virtual const int &	GetNumberOfThreads ()
virtual std::vector< DataObjectPointer >::size_type	GetNumberOfValidRequiredInputs () const
Get Set the labeled output image The output image is always of unsigned long integers *OutputImageType *	GetOutputImage (void)
Return an array with all the outputs of this process object *This is useful for tracing forward in the pipeline to contruct *graphs etc *DataObjectPointerArray &	GetOutputs ()
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual bool	GetReleaseDataFlag () const
Get Set the segment table The segment table is a table of segmentation *information identifying each region produced by the labeling algorithm *SegmentTableType *	GetSegmentTable (void)
Determines whether the algorithm will sort the adjacencies in its *SegmentTable before returning Default is true This is an option only *useful for streaming applications where the sorting only needs to be done *after all iterations have taken place *virtual bool	GetSortEdgeLists ()
virtual double	GetThreshold ()
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
	itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
Gets Sets the initial	label (unsigned long integer value) used *by the labeling algorithm.Only necessary for streaming applications.*/virtual void SetCurrentLabel(unsigned long _arg)
virtual DataObjectPointer	MakeOutput (unsigned int idx)
virtual void	Modified () const
virtual void	PrepareOutputs ()
void	Print (std::ostream &os, Indent indent=0) const
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	Register () const
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
void	ReleaseDataFlagOff ()
void	ReleaseDataFlagOn ()
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
void	SetBoundary (BoundaryType *b)
void	SetDebug (bool debugFlag) const
Turns on special labeling of the boundaries for streaming applications *The default value is meaning that boundary analysis is turned *off *virtual void	SetDoBoundaryAnalysis (bool _arg)
void	SetInputImage (InputImageType *img)
This method is necessary until the streaming mechanisms of the Itk *pipeline are full fleshed out It is only used for streaming *applications Calling this method gets sets the image size of the *complete volume being streamed The member variables controlled by *this method will not be modified by the Itk pipeline and are necessary *for analysis of boundaries *void	SetLargestPossibleRegion (ImageRegionType reg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
Get Set the number of threads to create when executing *virtual void	SetNumberOfThreads (int _arg)
void	SetOutputImage (OutputImageType *img)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
Turn on off the flags to control whether the bulk data belonging *to the outputs of this ProcessObject are released after being *used by a downstream ProcessObject Default value is off Another *options for controlling memory utilization is the *ReleaseDataBeforeUpdateFlag *virtual void	SetReleaseDataFlag (bool flag)
void	SetSegmentTable (SegmentTableType *s)
virtual void	SetSortEdgeLists (bool _arg)
Gets Sets the input threshold Threshold is specified as a percentage *of the maximum height of the image This filter thresholds the *input image to remove all values below f *where f min f are the minimum values in the image and f *T f is the threshold parameter value Values in the image less than f L *f are raised to f L f Thresholding minimum values in the image *decreases the number of local minima in the image and produces an initial *segmentation with fewer segments The assumption is that the shallow *regions that this thresholding eliminates are generally not of interest *virtual void	SetThreshold (double _arg)
virtual void	UnRegister () const
Turn on off the flags to control whether the bulk data belonging *to the outputs of this ProcessObject are released reallocated *during an a user may want *to force the elements of a pipeline to release any bulk data that *is going to be regenerated anyway during an	Update () in order to *control peak memory allocation.Note that this flag is different *from the ReleaseDataFlag.ReleaseDataFlag manages the *deallocation of a ProcessObject's bulk output data once that data *has been consumed by a downstream ProcessObject.The *ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation *of bulk data during a pipeline update to control peak memory *utilization.Default value is on.*/virtual void SetReleaseDataBeforeUpdateFlag(bool _arg)
Turn on off the flags to control whether the bulk data belonging *to the outputs of this ProcessObject are released reallocated *during an	Update ().In limited memory scenarios
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
void	UpdateProgress (float amount)
Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	RelabelImage (OutputImageTypePointer, ImageRegionType, EquivalencyTable::Pointer)
This is a global flag that controls whether any warning *or error messages are displayed *static void	SetGlobalWarningDisplay (bool flag)
Public Attributes
Allow people to add remove invoke observers(callbacks) to any ITK *object.This is an implementation of the subject/observer design *pattern.An observer is added by specifying an event to respond to *and an itk unsigned lon	AddObserver )(const EventObject &event, Command *) const
This is a global flag that controls whether any	debug
Turns on special labeling of the boundaries for streaming applications *The default value is	FALSE
Define image types and dimensionality *typedef TInputImage	InputImageType
Gets Sets the input threshold Threshold is specified as a percentage *of the maximum height of the image This filter thresholds the *input image to remove all values below f	L = min + T * (max - min) \f$
Gets Sets the input threshold Threshold is specified as a percentage *of the maximum height of the image This filter thresholds the *input image to remove all values below f *where f	max
Gets Sets the input threshold Threshold is specified as a percentage *of the maximum height of the image This filter thresholds the *input image to remove all values below f *where f min f are the	maximum
Methods to implement smart pointers and work with the itk object factory *typedef ProcessObject	Superclass
Static Public Attributes
static short	NULL_FLOW
static unsigned long	NULL_LABEL
Protected Types
typedef itk::hash_map< unsigned long, edge_table_t, itk::hash< unsigned long > >	edge_table_hash_t
typedef itk::hash_map< unsigned long, InputPixelType, itk::hash< unsigned long > >	edge_table_t
typedef itk::hash_map< unsigned long, flat_region_t, itk::hash< unsigned long > >	flat_region_table_t
Protected Member Functions
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
void	AnalyzeBoundaryFlow (InputImageTypePointer, flat_region_table_t &, InputPixelType)
void	BuildRetainingWall (InputImageTypePointer, ImageRegionType, InputPixelType)
virtual void	CacheInputReleaseDataFlags ()
void	CollectBoundaryInformation (flat_region_table_t &)
void	DescendFlatRegions (flat_region_table_t &, ImageRegionType)
virtual void	GenerateConnectivity ()
This method asks for an image region that is one pixel larger *at each boundary than the region being processed This single pixel *expansion represents an overlap with adjacent image chunks *void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
void	GenerateOutputRequestedRegion (DataObject *output)
const DataObject *	GetInput (unsigned int idx) const
Method used internally for getting an input *DataObject *	GetInput (unsigned int idx)
virtual const unsigned int &	GetNumberOfRequiredInputs ()
virtual const unsigned int &	GetNumberOfRequiredOutputs ()
const DataObject *	GetOutput (unsigned int idx) const
Method used internally for getting an output *DataObject *	GetOutput (unsigned int idx)
void	GradientDescent (InputImageTypePointer, ImageRegionType)
void	InitializeBoundary ()
void	LabelMinima (InputImageTypePointer, ImageRegionType, flat_region_table_t &, InputPixelType)
void	operator= (const Self &)
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
Push Pop an input of this process object These methods allow a *filter to model its input vector as a queue or stack These *routines may not be appropriate for all especially *filters with different types of inputs These routines follow *the semantics of STL *virtual void	PushBackInput (const DataObject *input)
virtual void	PushFrontInput (const DataObject *input)
virtual void	ReleaseInputs ()
virtual void	RemoveInput (DataObject *input)
virtual void	RemoveOutput (DataObject *output)
virtual void	RestoreInputReleaseDataFlags ()
	Segmenter (const Self &)
	Segmenter ()
Protected methods for setting inputs *Subclasses make use of them for setting input *virtual void	SetNthInput (unsigned int num, DataObject *input)
Protected methods for setting outputs *Subclasses make use of them for getting output *virtual void	SetNthOutput (unsigned int num, DataObject *output)
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
void	UpdateOutputInformation ()
void	UpdateSegmentTable (InputImageTypePointer, ImageRegionType)
virtual	~Segmenter ()
Static Protected Member Functions
static void	MergeFlatRegions (flat_region_table_t &, EquivalencyTable::Pointer)
static void	MinMax (InputImageTypePointer img, ImageRegionType region, InputPixelType &min, InputPixelType &max)
static void	SetInputImageValues (InputImageTypePointer img, const ImageRegionType region, InputPixelType value)
static void	SetOutputImageValues (OutputImageTypePointer img, const ImageRegionType region, unsigned long value)
static void	Threshold (InputImageTypePointer destination, InputImageTypePointer source, const ImageRegionType source_region, const ImageRegionType destination_region, InputPixelType threshold)
Protected Attributes
Push Pop an input of this process object These methods allow a *filter to model its input vector as a queue or stack These *routines may not be appropriate for all	filters
connectivity_t	m_Connectivity
TimeStamp	m_OutputInformationMTime
int	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
bool	m_Updating
Methods invoked by virtual Print() to print information about the object *including superclasses.Typically not called by the user(use Print()*instead) but used in the hierarchical print process to combine the *output of several classes.*/virtual void PrintSelf(std voi	PrintHeader )(std::ostream &os, Indent indent) const
Classes
struct	connectivity_t
struct	flat_region_t

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Member Typedef Documentation

template<class TInputImage> typedef BoundaryType::FlatHashValueType itk::watershed::Segmenter< TInputImage >::BoundaryFlatHashValueType

Definition at line 106 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef BoundaryType::IndexType itk::watershed::Segmenter< TInputImage >::BoundaryIndexType

Definition at line 105 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef Boundary<InputPixelType, itkGetStaticConstMacro(ImageDimension) itk::watershed::Segmenter< TInputImage >::BoundaryType)

Definition at line 104 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef BoundaryType::Pointer itk::watershed::Segmenter< TInputImage >::BoundaryTypePointer

Definition at line 124 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef SmartPointer<const Self> itk::watershed::Segmenter< TInputImage >::ConstPointer

Reimplemented from itk::ProcessObject. Definition at line 115 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef DataObject::Pointer itk::watershed::Segmenter< TInputImage >::DataObjectPointer

Smart Pointer type to a DataObject. Reimplemented from itk::ProcessObject. Definition at line 108 of file itkWatershedSegmenter.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited]

STL Array of SmartPointers to DataObjects Definition at line 103 of file itkProcessObject.h.

template<class TInputImage> typedef itk::hash_map<unsigned long, edge_table_t, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::edge_table_hash_t [protected]

Definition at line 261 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef itk::hash_map<unsigned long, InputPixelType, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::edge_table_t [protected]

Table for storing tables of edges. This is convenient in generating the segment table, even though the edge tables are stored as ordered lists. An ``edge'' in this context is synonymous with a segment ``adjacency''. Definition at line 258 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef itk::hash_map<unsigned long, flat_region_t, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::flat_region_table_t [protected]

Table for storing flat region information. Definition at line 244 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef InputImageType::RegionType itk::watershed::Segmenter< TInputImage >::ImageRegionType

Definition at line 102 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef InputImageType::Pointer itk::watershed::Segmenter< TInputImage >::InputImageTypePointer

Typedefs necessary on microsoft VC++ to avoid internal compiler errors Definition at line 117 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef InputImageType::PixelType itk::watershed::Segmenter< TInputImage >::InputPixelType

Definition at line 103 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef Image<unsigned long, itkGetStaticConstMacro(ImageDimension) itk::watershed::Segmenter< TInputImage >::OutputImageType)

Definition at line 101 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef OutputImageType::Pointer itk::watershed::Segmenter< TInputImage >::OutputImageTypePointer

Definition at line 122 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef SmartPointer<Self> itk::watershed::Segmenter< TInputImage >::Pointer

Reimplemented from itk::ProcessObject. Definition at line 114 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef SegmentTable<InputPixelType> itk::watershed::Segmenter< TInputImage >::SegmentTableType

Definition at line 107 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef SegmentTableType::Pointer itk::watershed::Segmenter< TInputImage >::SegmentTableTypePointer

Definition at line 123 of file itkWatershedSegmenter.h.

template<class TInputImage> typedef Segmenter itk::watershed::Segmenter< TInputImage >::Self

Standard self typedefs Reimplemented from itk::ProcessObject. Definition at line 95 of file itkWatershedSegmenter.h.

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Constructor & Destructor Documentation

template<class TInputImage> itk::watershed::Segmenter< TInputImage >::Segmenter (   )  [protected]

template<class TInputImage> itk::watershed::Segmenter< TInputImage >::Segmenter (  const Self &   )  [inline, protected]

Definition at line 264 of file itkWatershedSegmenter.h.

template<class TInputImage> virtual itk::watershed::Segmenter< TInputImage >::~Segmenter (   )  [protected, virtual]

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Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff (   )  [virtual, inherited]

virtual void itk::ProcessObject::AbortGenerateDataOn (   )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput (  DataObject *  input  )  [protected, virtual, inherited]

virtual void itk::ProcessObject::AddOutput (  DataObject *  output  )  [protected, virtual, inherited]

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::AnalyzeBoundaryFlow (  InputImageTypePointer  , flat_region_table_t &  , InputPixelType  )  [protected]

Performs a gradient descent connected component analysis at the boundaries of the images that border other image chunks. Useful only in data streaming applications.

static void itk::LightObject::BreakOnError (   )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::BuildRetainingWall (  InputImageTypePointer  , ImageRegionType  , InputPixelType  )  [protected]

Fills boundary pixels with a specified value. Used by labeling methods to build a very high ``wall'' around the image so that gradient descent does not need to watch boundaries.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags (   )  [protected, virtual, inherited]

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::CollectBoundaryInformation (  flat_region_table_t &   )  [protected]

Traverses each boundary and fills in the data needed for joining streamed chunks of an image volume. Only necessary for streaming applications.

virtual LightObject::Pointer itk::Object::CreateAnother (   )  const [virtual, inherited]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class. Reimplemented from itk::LightObject.

virtual void itk::Object::DebugOff (   )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (   )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (   )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::DescendFlatRegions (  flat_region_table_t &  , ImageRegionType  )  [protected]

Associates each flat region with a local minimum and relabels accordingly.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion (  DataObject *   )  [inline, virtual, inherited]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region. Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >. Definition at line 222 of file itkProcessObject.h.

template<class TInputImage> virtual void itk::watershed::Segmenter< TInputImage >::GenerateConnectivity (   )  [protected, virtual]

Constructs the connectivity list and the corresponding set of directional Offset indicies.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::GenerateData (   )  [virtual]

Standard non-threaded pipeline execution method. Reimplemented from itk::ProcessObject.

template<class TInputImage> This method asks for an image region that is one pixel larger* at each boundary than the region being processed This single pixel* expansion represents an overlap with adjacent image chunks* void itk::watershed::Segmenter< TInputImage >::GenerateInputRequestedRegion (   )  [protected, virtual]

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region). Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::GenerateOutputInformation (   )  [protected, virtual, inherited]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information. Reimplemented in itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long > >.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::GenerateOutputRequestedRegion (  DataObject *  output  )  [protected, virtual]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly. Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type. Reimplemented from itk::ProcessObject.

virtual const bool& itk::ProcessObject::GetAbortGenerateData (   )  [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TInputImage> Returns the boundary information data necessary only for data streaming applications* BoundaryType* itk::watershed::Segmenter< TInputImage >::GetBoundary (  void   )  [inline]

Definition at line 160 of file itkWatershedSegmenter.h. References itk::ProcessObject::GetOutput().

Command* itk::Object::GetCommand (  unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

template<class TInputImage> virtual unsigned long itk::watershed::Segmenter< TInputImage >::GetCurrentLabel (   )  [virtual]

bool itk::Object::GetDebug (   )  const [inherited]

Get the value of the debug flag.

template<class TInputImage> virtual bool itk::watershed::Segmenter< TInputImage >::GetDoBoundaryAnalysis (   )  [virtual]

static bool itk::Object::GetGlobalWarningDisplay (   )  [static, inherited]

const DataObject* itk::ProcessObject::GetInput (  unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an input* DataObject* itk::ProcessObject::GetInput (  unsigned int  idx  )  [protected, inherited]

Reimplemented in itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TriangleMeshToBinaryImageFilter, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::ImageFileWriter, itk::ImageSeriesWriter, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, and itk::PathToPathFilter< TFourierSeriesPath, OrthogonallyCorrected2DParametricPath >. Referenced by itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetEquivalencyTable(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::GetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputSegmentTree(), and itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput().

template<class TInputImage> Get Set the input image* InputImageType* itk::watershed::Segmenter< TInputImage >::GetInputImage (  void   )  [inline]

Definition at line 133 of file itkWatershedSegmenter.h. References itk::ProcessObject::GetInput().

DataObjectPointerArray& itk::ProcessObject::GetInputs (   )  [inline, inherited]

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc. Definition at line 108 of file itkProcessObject.h.

template<class TInputImage> ImageRegionType itk::watershed::Segmenter< TInputImage >::GetLargestPossibleRegion (   )  const [inline]

Definition at line 182 of file itkWatershedSegmenter.h.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary (  void   )  const [inherited]

Returns: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary (  void   )  [inherited]

Returns: A reference to this objects MetaDataDictionary. Warning: This reference may be changed.

virtual unsigned long itk::Object::GetMTime (   )  const [virtual, inherited]

Return this objects modified time. Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

MultiThreader* itk::ProcessObject::GetMultiThreader (   )  [inline, inherited]

Return the multithreader used by this class. Definition at line 281 of file itkProcessObject.h.

template<class TInputImage> virtual const char* itk::watershed::Segmenter< TInputImage >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ProcessObject.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfInputs (   )  const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null. Definition at line 115 of file itkProcessObject.h.

std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfOutputs (   )  const [inline, inherited]

Definition at line 132 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs (   )  [protected, virtual, inherited]

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs (   )  [protected, virtual, inherited]

virtual const int& itk::ProcessObject::GetNumberOfThreads (   )  [virtual, inherited]

virtual std::vector<DataObjectPointer>::size_type itk::ProcessObject::GetNumberOfValidRequiredInputs (   )  const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector. Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

const DataObject* itk::ProcessObject::GetOutput (  unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an output* DataObject* itk::ProcessObject::GetOutput (  unsigned int  idx  )  [protected, inherited]

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageSource< TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathSource< TOutputPath >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< ImageType >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImage >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TImageType >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< TEigenValueImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, and itk::PathSource< TOutputFourierSeriesPath >. Referenced by itk::watershed::Segmenter< TInputImage >::GetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::GetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetOutputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetOutputSegmentTree(), and itk::watershed::Segmenter< TInputImage >::GetSegmentTable().

template<class TInputImage> Get Set the labeled output image The output image is always of unsigned long integers* OutputImageType* itk::watershed::Segmenter< TInputImage >::GetOutputImage (  void   )  [inline]

Definition at line 142 of file itkWatershedSegmenter.h. References itk::ProcessObject::GetOutput().

Return an array with all the outputs of this process object* This is useful for tracing forward in the pipeline to contruct* graphs etc* DataObjectPointerArray& itk::ProcessObject::GetOutputs (   )  [inline, inherited]

Definition at line 130 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress (   )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

virtual int itk::LightObject::GetReferenceCount (   )  const [inline, virtual, inherited]

Gets the reference count on this object. Definition at line 98 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag (   )  [virtual, inherited]

virtual bool itk::ProcessObject::GetReleaseDataFlag (   )  const [virtual, inherited]

template<class TInputImage> Get Set the segment table The segment table is a table of segmentation* information identifying each region produced by the labeling algorithm* SegmentTableType* itk::watershed::Segmenter< TInputImage >::GetSegmentTable (  void   )  [inline]

Definition at line 151 of file itkWatershedSegmenter.h. References itk::ProcessObject::GetOutput().

template<class TInputImage> Determines whether the algorithm will sort the adjacencies in its* SegmentTable before returning Default is true This is an option only* useful for streaming applications where the sorting only needs to be done* after all iterations have taken place* virtual bool itk::watershed::Segmenter< TInputImage >::GetSortEdgeLists (   )  [virtual]

template<class TInputImage> virtual double itk::watershed::Segmenter< TInputImage >::GetThreshold (   )  [virtual]

static void itk::Object::GlobalWarningDisplayOff (   )  [inline, static, inherited]

Definition at line 100 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (   )  [inline, static, inherited]

Definition at line 98 of file itkObject.h. References itk::Object::SetGlobalWarningDisplay().

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::GradientDescent (  InputImageTypePointer  , ImageRegionType  )  [protected]

Follows each unlabeled pixel in the image down its path of steepest descent. Each pixel along that path is identified with the local minima already labeled at the end of the path.

bool itk::Object::HasObserver (  const EventObject &  event  )  const [inherited]

Return true if an observer is registered for this event.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::InitializeBoundary (   )  [protected]

Allocates boundary structure information and sets the boundary data to null values.

void itk::Object::InvokeEvent (  const EventObject &   )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent (  const EventObject &   )  [inherited]

Call Execute on all the Commands observing this event id.

template<class TInputImage> itk::watershed::Segmenter< TInputImage >::itkStaticConstMacro (  ImageDimension  , unsigned  int, TInputImage::ImageDimension  )

template<class TInputImage> Gets Sets the initial itk::watershed::Segmenter< TInputImage >::label (  unsigned long integer  value  )

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::LabelMinima (  InputImageTypePointer  , ImageRegionType  , flat_region_table_t &  , InputPixelType  )  [protected]

Labels all the local minima in the image. Also identifies and labels connected ``flat'' regions.

template<class TInputImage> virtual DataObjectPointer itk::watershed::Segmenter< TInputImage >::MakeOutput (  unsigned int  idx  )  [virtual]

Standard itk::ProcessObject subclass method. Reimplemented from itk::ProcessObject.

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::MergeFlatRegions (  flat_region_table_t &  , EquivalencyTable::Pointer  )  [static, protected]

Helper function. Finds the minimum and maximum values in an image.

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::MinMax (  InputImageTypePointer  img, ImageRegionType  region, InputPixelType &  min, InputPixelType &  max )  [static, protected]

Helper function. Finds the minimum and maximum values in an image.

virtual void itk::Object::Modified (   )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data. Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage> static Pointer itk::watershed::Segmenter< TInputImage >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::operator= (  const Self &   )  [inline, protected]

Reimplemented from itk::ProcessObject. Definition at line 267 of file itkWatershedSegmenter.h.

virtual void itk::ProcessObject::PopBackInput (   )  [protected, virtual, inherited]

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::ProcessObject::PopFrontInput (   )  [protected, virtual, inherited]

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::ProcessObject::PrepareOutputs (   )  [virtual, inherited]

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default. Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print (  std::ostream &  os, Indent  indent = 0 )  const [inherited]

Cause the object to print itself out.

bool itk::Object::PrintObservers (  std::ostream &  os, Indent  indent )  const [protected, inherited]

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::ProcessObject.

virtual void itk::LightObject::PrintTrailer (  std::ostream &  os, Indent  indent )  const [protected, virtual, inherited]

virtual void itk::ProcessObject::PropagateRequestedRegion (  DataObject *  output  )  [virtual, inherited]

Send the requested region information back up the pipeline (to the filters that preceed this one). Reimplemented in itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline (   )  [protected, virtual, inherited]

Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

Push Pop an input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all especially* filters with different types of inputs These routines follow* the semantics of STL* virtual void itk::ProcessObject::PushBackInput (  const DataObject *  input  )  [protected, virtual, inherited]

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::ProcessObject::PushFrontInput (  const DataObject *  input  )  [protected, virtual, inherited]

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::Object::Register (   )  const [virtual, inherited]

Increase the reference count (mark as used by another object). Reimplemented from itk::LightObject.

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::RelabelImage (  OutputImageTypePointer  , ImageRegionType  , EquivalencyTable::Pointer  )  [static]

Helper function. Other classes may have occasion to use this. Relabels an image according to a table of equivalencies.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff (   )  [virtual, inherited]

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn (   )  [virtual, inherited]

void itk::ProcessObject::ReleaseDataFlagOff (   )  [inline, inherited]

Definition at line 254 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn (   )  [inline, inherited]

Definition at line 253 of file itkProcessObject.h.

virtual void itk::ProcessObject::ReleaseInputs (   )  [protected, virtual, inherited]

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten. See also: InPlaceImageFilter::ReleaseInputs() Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceImageFilter< TImage, TImage >.

void itk::Object::RemoveAllObservers (   )  [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput (  DataObject *  input  )  [protected, virtual, inherited]

void itk::Object::RemoveObserver (  unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput (  DataObject *  output  )  [protected, virtual, inherited]

virtual void itk::ProcessObject::ResetPipeline (   )  [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags (   )  [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData (  bool  _arg  )  [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::SetBoundary (  BoundaryType *  b  )  [inline]

Definition at line 163 of file itkWatershedSegmenter.h. References itk::ProcessObject::SetNthOutput().

void itk::Object::SetDebug (  bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TInputImage> Turns on special labeling of the boundaries for streaming applications* The default value is meaning that boundary analysis is turned* off* virtual void itk::watershed::Segmenter< TInputImage >::SetDoBoundaryAnalysis (  bool  _arg  )  [virtual]

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay (  bool  flag  )  [static, inherited]

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::SetInputImage (  InputImageType *  img  )  [inline]

Definition at line 136 of file itkWatershedSegmenter.h. References itk::ProcessObject::SetNthInput().

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::SetInputImageValues (  InputImageTypePointer  img, const ImageRegionType  region, InputPixelType  value )  [static, protected]

Helper functions for filling in regions with values

template<class TInputImage> This method is necessary until the streaming mechanisms of the Itk* pipeline are full fleshed out It is only used for streaming* applications Calling this method gets sets the image size of the* complete volume being streamed The member variables controlled by* this method will not be modified by the Itk pipeline and are necessary* for analysis of boundaries* void itk::watershed::Segmenter< TInputImage >::SetLargestPossibleRegion (  ImageRegionType  reg  )  [inline]

Definition at line 176 of file itkWatershedSegmenter.h.

void itk::Object::SetMetaDataDictionary (  const MetaDataDictionary &  rhs  )  [inherited]

Returns: Set the MetaDataDictionary

Protected methods for setting inputs* Subclasses make use of them for setting input* virtual void itk::ProcessObject::SetNthInput (  unsigned int  num, DataObject *  input )  [protected, virtual, inherited]

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

Protected methods for setting outputs* Subclasses make use of them for getting output* virtual void itk::ProcessObject::SetNthOutput (  unsigned int  num, DataObject *  output )  [protected, virtual, inherited]

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< TInputImage >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< TInputImage >::SetSegmentTable().

void itk::ProcessObject::SetNumberOfInputs (  unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs (  unsigned int  num  )  [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs (  unsigned int  _arg  )  [protected, virtual, inherited]

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs (  unsigned int  _arg  )  [protected, virtual, inherited]

Get Set the number of threads to create when executing* virtual void itk::ProcessObject::SetNumberOfThreads (  int  _arg  )  [virtual, inherited]

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::SetOutputImage (  OutputImageType *  img  )  [inline]

Definition at line 145 of file itkWatershedSegmenter.h. References itk::ProcessObject::SetNthOutput().

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::SetOutputImageValues (  OutputImageTypePointer  img, const ImageRegionType  region, unsigned long  value )  [static, protected]

virtual void itk::ProcessObject::SetProgress (  float  _arg  )  [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount (  int   )  [virtual, inherited]

Sets the reference count (use with care) Reimplemented from itk::LightObject.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released after being* used by a downstream ProcessObject Default value is off Another* options for controlling memory utilization is the* ReleaseDataBeforeUpdateFlag* virtual void itk::ProcessObject::SetReleaseDataFlag (  bool  flag  )  [virtual, inherited]

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::SetSegmentTable (  SegmentTableType *  s  )  [inline]

Definition at line 154 of file itkWatershedSegmenter.h. References itk::ProcessObject::SetNthOutput().

template<class TInputImage> virtual void itk::watershed::Segmenter< TInputImage >::SetSortEdgeLists (  bool  _arg  )  [virtual]

template<class TInputImage> Gets Sets the input threshold Threshold is specified as a percentage* of the maximum height of the image This filter thresholds the* input image to remove all values below f * where f min f are the minimum values in the image and f* T f is the threshold parameter value Values in the image less than f L* f are raised to f L f Thresholding minimum values in the image* decreases the number of local minima in the image and produces an initial* segmentation with fewer segments The assumption is that the shallow* regions that this thresholding eliminates are generally not of interest* virtual void itk::watershed::Segmenter< TInputImage >::SetThreshold (  double  _arg  )  [virtual]

template<class TInputImage> static void itk::watershed::Segmenter< TInputImage >::Threshold (  InputImageTypePointer  destination, InputImageTypePointer  source, const ImageRegionType  source_region, const ImageRegionType  destination_region, InputPixelType  threshold )  [static, protected]

Helper function. Thresholds low values and copies values from one image into another. The source and destination regions must match in size (not enforced). For integral types, the dynamic range of the image is adjusted such that the maximum value in the image is always at least one less than the maximum value allowed for that data type.

virtual void itk::Object::UnRegister (   )  const [virtual, inherited]

Decrease the reference count (release by another object). Reimplemented from itk::LightObject.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released reallocated* during an a user may want* to force the elements of a pipeline to release any bulk data that* is going to be regenerated anyway during an itk::ProcessObject::Update (   )  [inherited]

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::ImageSeriesWriter, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, and itk::PathSource< TOutputFourierSeriesPath >.

Turn on off the flags to control whether the bulk data belonging* to the outputs of this ProcessObject are released reallocated* during an itk::ProcessObject::Update (  void   )  [inherited]

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::ImageSeriesWriter, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, and itk::PathSource< TOutputFourierSeriesPath >.

virtual void itk::ProcessObject::Update (   )  [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead. Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::PathSource< TOutputPath >, itk::ImageSeriesWriter, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< TLevelSet >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< Image< TPixel, Dimension > >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< TInputImage >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< TImage >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TImageType >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< TDeformationField >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< TEigenValueImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< TOutputFourierSeriesPath >, and itk::PathSource< TOutputFourierSeriesPath >.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion (   )  [virtual, inherited]

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData (  DataObject *  output  )  [virtual, inherited]

Actually generate new output Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::UpdateOutputInformation (   )  [protected, virtual]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information. Reimplemented from itk::ProcessObject.

void itk::ProcessObject::UpdateProgress (  float  amount  )  [inherited]

Update the progress of the process object. Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

template<class TInputImage> void itk::watershed::Segmenter< TInputImage >::UpdateSegmentTable (  InputImageTypePointer  , ImageRegionType  )  [protected]

Adds entries to the output segment table for all labeled segments in the image.

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Member Data Documentation

Allow people to add remove invoke observers (callbacks) to any ITK * object. This is an implementation of the subject/observer design * pattern. An observer is added by specifying an event to respond to * and an itk unsigned lon itk::Object::AddObserver)(const EventObject &event, Command *) const [inherited]

This is a global flag that controls whether any itk::Object::debug [inherited]

Definition at line 94 of file itkObject.h.

template<class TInputImage> Turns on special labeling of the boundaries for streaming applications* The default value is itk::watershed::Segmenter< TInputImage >::FALSE

Definition at line 211 of file itkWatershedSegmenter.h.

Push Pop an input of this process object These methods allow a* filter to model its input vector as a queue or stack These* routines may not be appropriate for all itk::ProcessObject::filters [protected, inherited]

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< TPixel, Dimension >, Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, Dimension >, Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >. Definition at line 303 of file itkProcessObject.h.

template<class TInputImage> Define image types and dimensionality* typedef TInputImage itk::watershed::Segmenter< TInputImage >::InputImageType

Definition at line 98 of file itkWatershedSegmenter.h.

template<class TInputImage> Gets Sets the input threshold Threshold is specified as a percentage* of the maximum height of the image This filter thresholds the* input image to remove all values below f itk::watershed::Segmenter< TInputImage >::L = min + T * (max - min) \f$

Definition at line 203 of file itkWatershedSegmenter.h.

template<class TInputImage> connectivity_t itk::watershed::Segmenter< TInputImage >::m_Connectivity [protected]

Holds generalized connectivity information for connected component labeling and gradient descent analysis in pixel neighborhoods. Definition at line 356 of file itkWatershedSegmenter.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]

Time when GenerateOutputInformation was last called. Definition at line 428 of file itkProcessObject.h.

int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects. Definition at line 119 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count Definition at line 122 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops. Definition at line 425 of file itkProcessObject.h.

template<class TInputImage> Gets Sets the input threshold Threshold is specified as a percentage* of the maximum height of the image This filter thresholds the* input image to remove all values below f * where f itk::watershed::Segmenter< TInputImage >::max

Definition at line 203 of file itkWatershedSegmenter.h.

template<class TInputImage> Gets Sets the input threshold Threshold is specified as a percentage* of the maximum height of the image This filter thresholds the* input image to remove all values below f * where f min f are the itk::watershed::Segmenter< TInputImage >::maximum

Definition at line 203 of file itkWatershedSegmenter.h.

template<class TInputImage> short itk::watershed::Segmenter< TInputImage >::NULL_FLOW [static]

A constant used in the labeling algorithm. Definition at line 130 of file itkWatershedSegmenter.h.

template<class TInputImage> unsigned long itk::watershed::Segmenter< TInputImage >::NULL_LABEL [static]

A constant used in the labeling algorithm. Definition at line 127 of file itkWatershedSegmenter.h.

Methods invoked by virtual Print () to print information about the object * including superclasses. Typically not called by the user (use Print() * instead) but used in the hierarchical print process to combine the * output of several classes. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]

template<class TInputImage> Methods to implement smart pointers and work with the itk object factory* typedef ProcessObject itk::watershed::Segmenter< TInputImage >::Superclass

Reimplemented from itk::ProcessObject. Definition at line 113 of file itkWatershedSegmenter.h.

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The documentation for this class was generated from the following file:

• itkWatershedSegmenter.h

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