itk::GaussianBlurImageFunction< TInputImage, TOutput > Class Template Reference

#include <itkGaussianBlurImageFunction.h>

Inheritance diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:

[legend]Collaboration diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:

[legend]List of all members.

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Detailed Description

template<class TInputImage, class TOutput = double>
class itk::GaussianBlurImageFunction< TInputImage, TOutput >

Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.

See also:

NeighborhoodOperator

ImageFunction

Definition at line 39 of file itkGaussianBlurImageFunction.h.

Public Types
typedef CastImageFilterType::Pointer	CastImageFilterPointer
typedef itk::CastImageFilter< InputImageType, InternalImageType >	CastImageFilterType
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ContinuousIndexType	ContinuousIndexType
typedef float	CoordRepType
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	ErrorArrayType )
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	ExtentArrayType )
typedef GaussianFunctionType::Pointer	GaussianFunctionPointer
typedef GaussianSpatialFunction< TOutput, 1 >	GaussianFunctionType
typedef GaussianOperator< TOutput, itkGetStaticConstMacro(ImageDimension)	GaussianOperatorType )
typedef Superclass::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension >	InputType
typedef InternalImageType::Pointer	InternalImagePointer
typedef itk::Image< double, itkGetStaticConstMacro(ImageDimension)	InternalImageType )
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension)	NeighborhoodType )
typedef FixedArray< NeighborhoodType, itkGetStaticConstMacro(ImageDimension)	OperatorArrayType )
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction< InternalImageType, TOutput >	OperatorImageFunctionType
typedef TOutput	OutputType
typedef SmartPointer< Self >	Pointer
typedef Superclass::PointType	PointType
typedef GaussianBlurImageFunction	Self
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	SigmaArrayType )
typedef ImageFunction< TInputImage, TOutput >	Superclass
Public Member Functions
Convert continuous index to nearest index *void	ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
void	ConvertPointToContinousIndex (const PointType &point, ContinuousIndexType &cindex) const
Convert point to nearest index *void	ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual OutputType	Evaluate (const InputType &input) const =0
virtual TOutput	Evaluate (const PointType &point) const
virtual TOutput	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual TOutput	EvaluateAtIndex (const IndexType &index) const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual const ContinuousIndexType &	GetEndContinuousIndex ()
virtual const IndexType &	GetEndIndex ()
virtual const ExtentArrayType &	GetExtent ()
const InputImageType *	GetInputImage () const
virtual const ErrorArrayType &	GetMaximumError ()
virtual int	GetMaximumKernelWidth ()
Set	GetMaximumKernelWidth () This value is used by the underling *GaussianOperator for computing the number of coefficients to be *used in the Gaussian kernel */virtual void SetMaximumKernelWidth(int _arg)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
virtual int	GetReferenceCount () const
virtual const SigmaArrayType &	GetSigma ()
virtual const ContinuousIndexType &	GetStartContinuousIndex ()
virtual const IndexType &	GetStartIndex ()
virtual bool	GetUseImageSpacing ()
Set	GetUseImageSpacing () This flag is used by the underling *GaussianOperator to decide if the image spacing should be used *to scale the value of sigma or not.The methods UseImageSpacingOn()*and UseImageSpacingOff() provide a similar functionality.*/virtual void SetUseImageSpacing(bool _arg)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
Check if a point is inside the image buffer *warning For no validity checking of *the input image pointer is done *virtual bool	IsInsideBuffer (const PointType &point) const
Check if a continuous index is inside the image buffer *warning For no validity checking of *the input image is done *virtual bool	IsInsideBuffer (const ContinuousIndexType &index) const
Check if an index is inside the image buffer *warning For no validity checking of *the input image is done *virtual bool	IsInsideBuffer (const IndexType &index) const
	itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
	itkStaticConstMacro (ImageDimension, unsigned int, InputImageType::ImageDimension)
virtual void	Modified () const
void	Print (std::ostream &os, Indent indent=0) const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetExtent (const double extent)
void	SetExtent (const double *extent)
Set Get the Extent of the array holding the coefficients *of the Gaussian kernel computed by the GaussianOperator *virtual void	SetExtent (ExtentArrayType _arg)
virtual void	SetInputImage (const InputImageType *ptr)
Set Get the maximum error acceptable for the approximation *of the Gaussian kernel with the GaussianOperator *virtual void	SetMaximumError (ErrorArrayType _arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	SetSigma (SigmaArrayType _arg)
void	SetSigma (const double sigma)
void	SetSigma (const float *sigma)
The standard deviation for the discrete Gaussian kernel Sets the *standard deviation independently for each dimension *The default is in each dimension *If UseImageSpacing is the units are the physical units *of your image If UseImageSpacing is false then the units are pixels *void	SetSigma (const double *sigma)
The standard deviation for the discrete Gaussian kernel Sets the *standard deviation independently for each dimension *The default is in each dimension *If UseImageSpacing is	true (default)
virtual void	UnRegister () const
virtual void	UseImageSpacingOff ()
virtual void	UseImageSpacingOn ()
Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
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
Check if a point is inside the image buffer *warning For	efficiency
Check if a continuous index is inside the image buffer *warning For	efficiency
Check if an index is inside the image buffer *warning For	efficiency
Protected Member Functions
	FunctionBase ()
	GaussianBlurImageFunction (const Self &)
	GaussianBlurImageFunction ()
	ImageFunction ()
void	operator= (const Self &)
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
void	RecomputeContinuousGaussianKernel (const double *offset) const
void	RecomputeGaussianKernel ()
	~GaussianBlurImageFunction ()
Protected Attributes
ContinuousIndexType	m_EndContinuousIndex
IndexType	m_EndIndex
InputImageConstPointer	m_Image
int	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
ContinuousIndexType	m_StartContinuousIndex
IndexType	m_StartIndex
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

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Member Typedef Documentation

template<class TInputImage, class TOutput = double> typedef CastImageFilterType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterPointer

Definition at line 87 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef itk::CastImageFilter<InputImageType,InternalImageType> itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterType

Definition at line 86 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef SmartPointer<const Self> itk::GaussianBlurImageFunction< TInputImage, TOutput >::ConstPointer

Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 52 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::ContinuousIndexType itk::GaussianBlurImageFunction< TInputImage, TOutput >::ContinuousIndexType

ContinuousIndex Type. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 64 of file itkGaussianBlurImageFunction.h.

typedef float itk::ImageFunction< TInputImage , TOutput , float >::CoordRepType [inherited]

CoordRepType typedef support. Definition at line 94 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double> typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::ErrorArrayType)

Definition at line 90 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::ExtentArrayType)

Definition at line 93 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 78 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianSpatialFunction<TOutput,1> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 77 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianOperator<TOutput, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianOperatorType)

Definition at line 73 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::IndexType itk::GaussianBlurImageFunction< TInputImage, TOutput >::IndexType

Index Type. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 63 of file itkGaussianBlurImageFunction.h.

typedef InputImageType::ConstPointer itk::ImageFunction< TInputImage , TOutput , float >::InputImageConstPointer [inherited]

InputImagePointer typedef support Definition at line 88 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double> typedef TInputImage itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputImageType

InputImageType typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 58 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef InputImageType::PixelType itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 62 of file itkGaussianBlurImageFunction.h.

typedef Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::InputType [inherited]

Input type Definition at line 54 of file itkFunctionBase.h.

template<class TInputImage, class TOutput = double> typedef InternalImageType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer

Definition at line 80 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef itk::Image<double,itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImageType)

Definition at line 79 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Neighborhood<TOutput, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::NeighborhoodType)

Definition at line 74 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef FixedArray<NeighborhoodType,itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType)

Definition at line 75 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef OperatorImageFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 84 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef NeighborhoodOperatorImageFunction<InternalImageType, TOutput> itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Definition at line 83 of file itkGaussianBlurImageFunction.h.

typedef TOutput itk::ImageFunction< TInputImage , TOutput , float >::OutputType [inherited]

OutputType typedef support. Reimplemented from itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >. Definition at line 91 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double> typedef SmartPointer<Self> itk::GaussianBlurImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 51 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::PointType itk::GaussianBlurImageFunction< TInputImage, TOutput >::PointType

Point typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 99 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianBlurImageFunction itk::GaussianBlurImageFunction< TInputImage, TOutput >::Self

Standard "Self" typedef Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 45 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::SigmaArrayType)

Definition at line 96 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef ImageFunction<TInputImage, TOutput> itk::GaussianBlurImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 48 of file itkGaussianBlurImageFunction.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction (   )  [protected]

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction (  const Self &   )  [inline, protected]

Definition at line 168 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::~GaussianBlurImageFunction (   )  [inline, protected]

Definition at line 170 of file itkGaussianBlurImageFunction.h.

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Member Function Documentation

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

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

Convert continuous index to nearest index* void itk::ImageFunction< TInputImage , TOutput , float >::ConvertContinuousIndexToNearestIndex (  const ContinuousIndexType &  cindex, IndexType &  index )  const [inline, inherited]

Definition at line 186 of file itkImageFunction.h.

void itk::ImageFunction< TInputImage , TOutput , float >::ConvertPointToContinousIndex (  const PointType &  point, ContinuousIndexType &  cindex )  const [inline, inherited]

Convert point to continuous index Definition at line 179 of file itkImageFunction.h.

Convert point to nearest index* void itk::ImageFunction< TInputImage , TOutput , float >::ConvertPointToNearestIndex (  const PointType &  point, IndexType &  index )  const [inline, inherited]

Definition at line 169 of file itkImageFunction.h.

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.

virtual OutputType itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::Evaluate (  const InputType &  input  )  const [pure virtual, inherited]

Evaluate at the specified input position

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate (  const PointType &  point  )  const [virtual]

Evalutate the in the given dimension at specified point Implements itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex (  const ContinuousIndexType &  index  )  const [virtual]

Evaluate the function at specified ContinousIndex position. Implements itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex (  const IndexType &  index  )  const [virtual]

Evaluate the function at specified Index position Implements itk::ImageFunction< TInputImage, TOutput >.

itk::FunctionBase< Point< float,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::FunctionBase (   )  [inline, protected, inherited]

Definition at line 66 of file itkFunctionBase.h.

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.

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

Get the value of the debug flag.

virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , float >::GetEndContinuousIndex (   )  [virtual, inherited]

virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , float >::GetEndIndex (   )  [virtual, inherited]

template<class TInputImage, class TOutput = double> virtual const ExtentArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent (   )  [virtual]

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

const InputImageType* itk::ImageFunction< TInputImage , TOutput , float >::GetInputImage (   )  const [inline, inherited]

Get the input image. Definition at line 113 of file itkImageFunction.h.

template<class TInputImage, class TOutput = double> virtual const ErrorArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumError (   )  [virtual]

template<class TInputImage, class TOutput = double> virtual int itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth (   )  [virtual]

template<class TInputImage, class TOutput = double> Set itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth (   )

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 >.

template<class TInputImage, class TOutput = double> virtual const char* itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageFunction< TInputImage, TOutput >.

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

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

template<class TInputImage, class TOutput = double> virtual const SigmaArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma (   )  [virtual]

virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , float >::GetStartContinuousIndex (   )  [virtual, inherited]

virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , float >::GetStartIndex (   )  [virtual, inherited]

template<class TInputImage, class TOutput = double> virtual bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetUseImageSpacing (   )  [virtual]

template<class TInputImage, class TOutput = double> Set itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetUseImageSpacing (   )

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().

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

Return true if an observer is registered for this event.

itk::ImageFunction< TInputImage , TOutput , float >::ImageFunction (   )  [protected, inherited]

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.

Check if a point is inside the image buffer* warning For no validity checking of* the input image pointer is done* virtual bool itk::ImageFunction< TInputImage , TOutput , float >::IsInsideBuffer (  const PointType &  point  )  const [inline, virtual, inherited]

Definition at line 160 of file itkImageFunction.h.

Check if a continuous index is inside the image buffer* warning For no validity checking of* the input image is done* virtual bool itk::ImageFunction< TInputImage , TOutput , float >::IsInsideBuffer (  const ContinuousIndexType &  index  )  const [inline, virtual, inherited]

Definition at line 146 of file itkImageFunction.h.

Check if an index is inside the image buffer* warning For no validity checking of* the input image is done* virtual bool itk::ImageFunction< TInputImage , TOutput , float >::IsInsideBuffer (  const IndexType &  index  )  const [inline, virtual, inherited]

Definition at line 132 of file itkImageFunction.h.

itk::ImageFunction< TInputImage , TOutput , float >::itkStaticConstMacro (  ImageDimension  , unsigned  int, TInputImage ::ImageDimension  )  [inherited]

Dimension underlying input image.

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::itkStaticConstMacro (  ImageDimension  , unsigned  int, InputImageType::ImageDimension  )

Dimension of the underlying 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, class TOutput = double> static Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::New (   )  [static]

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

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

Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 172 of file itkGaussianBlurImageFunction.h.

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, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::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::ImageFunction< TInputImage, TOutput >.

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

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel (  const double *  offset  )  const [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel (   )  [protected]

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

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

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

Remove all observers .

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

Remove the observer with this tag value.

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, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  const double  extent  )

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  const double *  extent  )

template<class TInputImage, class TOutput = double> Set Get the Extent of the array holding the coefficients* of the Gaussian kernel computed by the GaussianOperator* virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  ExtentArrayType  _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, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetInputImage (  const InputImageType *  ptr  )  [virtual]

Set the input image. Warning: this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values. Reimplemented from itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> Set Get the maximum error acceptable for the approximation* of the Gaussian kernel with the GaussianOperator* virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumError (  ErrorArrayType  _arg  )  [virtual]

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

Returns: Set the MetaDataDictionary

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

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

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  SigmaArrayType  _arg  )  [virtual]

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const double  sigma  )

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const float *  sigma  )

template<class TInputImage, class TOutput = double> The standard deviation for the discrete Gaussian kernel Sets the* standard deviation independently for each dimension* The default is in each dimension* If UseImageSpacing is the units are the physical units* of your image If UseImageSpacing is false then the units are pixels* void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const double *  sigma  )

template<class TInputImage, class TOutput = double> The standard deviation for the discrete Gaussian kernel Sets the* standard deviation independently for each dimension* The default is in each dimension* If UseImageSpacing is itk::GaussianBlurImageFunction< TInputImage, TOutput >::true (  default   )

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

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

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::UseImageSpacingOff (   )  [virtual]

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::UseImageSpacingOn (   )  [virtual]

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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.

Check if a point is inside the image buffer* warning For itk::ImageFunction< TInputImage , TOutput , float >::efficiency [inherited]

Definition at line 158 of file itkImageFunction.h.

Check if a continuous index is inside the image buffer* warning For itk::ImageFunction< TInputImage , TOutput , float >::efficiency [inherited]

Definition at line 144 of file itkImageFunction.h.

Check if an index is inside the image buffer* warning For itk::ImageFunction< TInputImage , TOutput , float >::efficiency [inherited]

Definition at line 130 of file itkImageFunction.h.

ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , float >::m_EndContinuousIndex [protected, inherited]

Definition at line 213 of file itkImageFunction.h.

IndexType itk::ImageFunction< TInputImage , TOutput , float >::m_EndIndex [protected, inherited]

Definition at line 211 of file itkImageFunction.h.

InputImageConstPointer itk::ImageFunction< TInputImage , TOutput , float >::m_Image [protected, inherited]

Const pointer to the input image. Definition at line 207 of file itkImageFunction.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.

ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , float >::m_StartContinuousIndex [protected, inherited]

Definition at line 212 of file itkImageFunction.h.

IndexType itk::ImageFunction< TInputImage , TOutput , float >::m_StartIndex [protected, inherited]

Cache some values for testing if indices are inside buffered region. Definition at line 210 of file itkImageFunction.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]

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

• itkGaussianBlurImageFunction.h

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