#include <itkGradientRecursiveGaussianImageFilter.h>

Detailed Description

template<typename TInputImage, typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>
class itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the gradient of an image by convolution with the first derivative of a Gaussian.

This filter is implemented using the recursive gaussian filters.

This filter supports both scalar and vector pixel types within the input image, including VectorImage type.

ITK Sphinx Examples:

All ITK Sphinx Examples

Apply GradientRecursiveGaussianImageFilter on Image with Vector type

Implementation Of Snakes

Examples: Examples/DataRepresentation/Image/ImageAdaptor3.cxx, Examples/Filtering/GradientRecursiveGaussianImageFilter.cxx, Examples/Filtering/VectorCurvatureAnisotropicDiffusionImageFilter.cxx, Examples/Filtering/VectorGradientAnisotropicDiffusionImageFilter.cxx, Examples/IO/CovariantVectorImageWrite.cxx, SphinxExamples/src/Filtering/ImageGradient/ApplyGradientRecursiveGaussian/Code.cxx, SphinxExamples/src/Filtering/ImageGradient/ApplyGradientRecursiveGaussianWithVectorInput/Code.cxx, and SphinxExamples/src/Filtering/ImageGradient/ImplementationOfSnakes/Code.cxx.

Definition at line 59 of file itkGradientRecursiveGaussianImageFilter.h.

Inheritance diagram for itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	CovariantVectorType = CovariantVector< OutputComponentType, ImageDimension >

using	DerivativeFilterPointer = typename DerivativeFilterType::Pointer

using	DerivativeFilterType = RecursiveGaussianImageFilter< InputImageType, RealImageType >

using	GaussianFilterPointer = typename GaussianFilterType::Pointer

using	GaussianFilterType = RecursiveGaussianImageFilter< RealImageType, RealImageType >

using	GradientVectorType = CovariantVector< ScalarRealType, ImageDimension >

using	InputImageType = TInputImage

using	InternalRealType = typename NumericTraits< RealType >::FloatType

using	InternalScalarRealType = typename NumericTraits< InternalRealType >::ValueType

using	OutputComponentType = typename NumericTraits< OutputPixelType >::ValueType

using	OutputImageAdaptorPointer = typename OutputImageAdaptorType::Pointer

using	OutputImageAdaptorType = NthElementImageAdaptor< TOutputImage, InternalScalarRealType >

using	OutputImagePointer = typename TOutputImage::Pointer

using	OutputImageType = TOutputImage

using	OutputPixelType = typename OutputImageType::PixelType

using	PixelType = typename TInputImage::PixelType

using	Pointer = SmartPointer< Self >

using	RealImageType = Image< InternalRealType, Self::ImageDimension >

using	RealType = typename NumericTraits< PixelType >::RealType

using	ScalarRealType = typename NumericTraits< PixelType >::ScalarRealType

using	Self = GradientRecursiveGaussianImageFilter

using	SigmaArrayType = FixedArray< ScalarRealType, Self::ImageDimension >

using	Superclass = ImageToImageFilter< TInputImage, TOutputImage >

Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	Pointer = SmartPointer< Self >

using	Self = ImageToImageFilter

using	Superclass = ImageSource< TOutputImage >

Public Types inherited from itk::ImageSource< TOutputImage >
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = TOutputImage

using	Pointer = SmartPointer< Self >

using	Self = ImageSource

using	Superclass = ProcessObject

Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
void	GenerateInputRequestedRegion () override

const char *	GetNameOfClass () const override

ScalarRealType	GetSigma () const

SigmaArrayType	GetSigmaArray () const


void	SetSigmaArray (const SigmaArrayType &sigma)

void	SetSigma (ScalarRealType sigma)


void	SetNormalizeAcrossScale (bool normalize)

virtual bool	GetNormalizeAcrossScale () const


virtual void	SetUseImageDirection (bool _arg)

virtual bool	GetUseImageDirection () const

virtual void	UseImageDirectionOn ()

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetInput (const InputImageType *input)

virtual void	SetInput (unsigned int, const TInputImage *image)

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)

OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

virtual void	GraftOutput (DataObject *graft)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)

virtual void	GraftNthOutput (unsigned int idx, DataObject *graft)

ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override

ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

MultiThreaderType *	GetMultiThreader () const

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

virtual void	PrepareOutputs ()

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

virtual void	SetReleaseDataFlag (bool val)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *cmd) const

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag) const

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static double	GetGlobalDefaultCoordinateTolerance ()

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static void	SetGlobalDefaultDirectionTolerance (double)

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Static Public Attributes
static constexpr unsigned int	ImageDimension = TInputImage::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *output) override

void	GenerateData () override

void	GenerateOutputInformation () override

	GradientRecursiveGaussianImageFilter ()

void	PrintSelf (std::ostream &os, Indent indent) const override

	~GradientRecursiveGaussianImageFilter () override=default

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

	ImageToImageFilter ()

void	VerifyInputInformation () const override

	~ImageToImageFilter () override=default

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

	~ImageSource () override=default

virtual void	ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	AddOutput (DataObject *output)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

virtual void	CacheInputReleaseDataFlags ()

virtual void	GenerateOutputRequestedRegion (DataObject *output)

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

	ProcessObject ()

virtual void	PropagateResetPipeline ()

virtual void	PushBackInput (const DataObject *input)

virtual void	PushFrontInput (const DataObject *input)

virtual void	ReleaseInputs ()

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

virtual void	RestoreInputReleaseDataFlags ()

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	SetPrimaryInput (DataObject *object)

virtual void	SetPrimaryOutput (DataObject *object)

void	SetRequiredInputNames (const NameArray &)

virtual void	VerifyPreconditions () const

	~ProcessObject () override

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	SetThreaderUpdateProgress (bool arg)

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Private Member Functions
template<template< typename, unsigned int > class P, class T , unsigned int VDimension>
void	TransformOutputPixel (ImageRegionIterator< Image< P< T, VDimension >, VDimension >> &it)

template<typename T >
void	TransformOutputPixel (ImageRegionIterator< T > &it)

template<typename TValue >
void	TransformOutputPixel (ImageRegionIterator< VectorImage< TValue, ImageDimension >> &it)

Private Attributes
DerivativeFilterPointer	m_DerivativeFilter {}

OutputImageAdaptorPointer	m_ImageAdaptor {}

bool	m_NormalizeAcrossScale {}

SigmaArrayType	m_Sigma {}

std::vector< GaussianFilterPointer >	m_SmoothingFilters {}

bool	m_UseImageDirection { true }

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >

using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >

Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject >
static void	MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)

static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool	m_DynamicMultiThreading { true }

Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime {}

bool	m_Updating {}

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 68 of file itkGradientRecursiveGaussianImageFilter.h.

◆ CovariantVectorType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CovariantVectorType = CovariantVector<OutputComponentType, ImageDimension>

Definition at line 124 of file itkGradientRecursiveGaussianImageFilter.h.

◆ DerivativeFilterPointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer = typename DerivativeFilterType::Pointer

Pointer to a derivative filter.

Definition at line 115 of file itkGradientRecursiveGaussianImageFilter.h.

◆ DerivativeFilterType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType = RecursiveGaussianImageFilter<InputImageType, RealImageType>

Derivative filter type, it will be the first in the pipeline

Definition at line 109 of file itkGradientRecursiveGaussianImageFilter.h.

◆ GaussianFilterPointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer = typename GaussianFilterType::Pointer

Pointer to a gaussian filter.

Definition at line 112 of file itkGradientRecursiveGaussianImageFilter.h.

◆ GaussianFilterType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType>

Smoothing filter type

Definition at line 106 of file itkGradientRecursiveGaussianImageFilter.h.

◆ GradientVectorType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientVectorType = CovariantVector<ScalarRealType, ImageDimension>

Gradient vector type alias

Definition at line 86 of file itkGradientRecursiveGaussianImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage

Pixel Type of the input image. May be scalar or vector.

Definition at line 71 of file itkGradientRecursiveGaussianImageFilter.h.

◆ InternalRealType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType = typename NumericTraits<RealType>::FloatType

Define the image type for internal computations RealType is usually 'double' in NumericTraits. Here we prefer float in order to save memory.

Definition at line 79 of file itkGradientRecursiveGaussianImageFilter.h.

◆ InternalScalarRealType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalScalarRealType = typename NumericTraits<InternalRealType>::ValueType

Definition at line 80 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputComponentType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType = typename NumericTraits<OutputPixelType>::ValueType

Definition at line 123 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputImageAdaptorPointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer = typename OutputImageAdaptorType::Pointer

Definition at line 100 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputImageAdaptorType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType = NthElementImageAdaptor<TOutputImage, InternalScalarRealType>

Output Image Nth Element Adaptor This adaptor allows to use conventional scalar smoothing filters to compute each one of the components of the gradient image pixels.

Definition at line 98 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename TOutputImage::Pointer

Pointer to the Output Image

Definition at line 118 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType = TOutputImage

Type of the output Image

Definition at line 121 of file itkGradientRecursiveGaussianImageFilter.h.

◆ OutputPixelType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType = typename OutputImageType::PixelType

Definition at line 122 of file itkGradientRecursiveGaussianImageFilter.h.

◆ PixelType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType = typename TInputImage::PixelType

Definition at line 72 of file itkGradientRecursiveGaussianImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 67 of file itkGradientRecursiveGaussianImageFilter.h.

◆ RealImageType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = Image<InternalRealType, Self::ImageDimension>

Define the image type for internal computations RealType is usually 'double' in NumericTraits. Here we prefer float in order to save memory.

Definition at line 91 of file itkGradientRecursiveGaussianImageFilter.h.

◆ RealType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType = typename NumericTraits<PixelType>::RealType

Definition at line 73 of file itkGradientRecursiveGaussianImageFilter.h.

◆ ScalarRealType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType = typename NumericTraits<PixelType>::ScalarRealType

Definition at line 74 of file itkGradientRecursiveGaussianImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self = GradientRecursiveGaussianImageFilter

Standard class type aliases.

Definition at line 65 of file itkGradientRecursiveGaussianImageFilter.h.

◆ SigmaArrayType

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SigmaArrayType = FixedArray<ScalarRealType, Self::ImageDimension>

Define the type for the sigma array

Definition at line 103 of file itkGradientRecursiveGaussianImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

using itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 66 of file itkGradientRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

◆ GradientRecursiveGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter ( )

protected

◆ ~GradientRecursiveGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter ( )

overrideprotecteddefault

Member Function Documentation

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject * )

overrideprotectedvirtual

Give the process object a chance to indicate 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 from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData ( )

overrideprotectedvirtual

Generate Data

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )

overridevirtual

GradientRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, GradientRecursiveGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion in order to inform the pipeline execution model.

See also: ImageToImageFilter::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ GenerateOutputInformation()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation ( )

overrideprotectedvirtual

Generate the information describing 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 from itk::ProcessObject.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

const char* itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

◆ GetNormalizeAcrossScale()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale ( ) const

virtual

Define which normalization factor will be used for the Gaussian

See also: RecursiveGaussianImageFilter::SetNormalizeAcrossScale

◆ GetSigma()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

ScalarRealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma ( ) const

Get the value of Sigma along the first dimension.

◆ GetSigmaArray()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

SigmaArrayType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigmaArray ( ) const

◆ GetUseImageDirection()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetUseImageDirection ( ) const

virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coordinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

◆ New()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

static Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

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::ImageToImageFilter< TInputImage, TOutputImage >.

◆ SetNormalizeAcrossScale()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale ( bool normalize )

Define which normalization factor will be used for the Gaussian

See also: RecursiveGaussianImageFilter::SetNormalizeAcrossScale

◆ SetSigma()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( ScalarRealType sigma )

Set/Get the Sigma value. Sigma is measured in the units of image spacing.

◆ SetSigmaArray()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigmaArray ( const SigmaArrayType & sigma )

Set/Get the Sigma value. Sigma is measured in the units of image spacing.

◆ SetUseImageDirection()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageDirection ( bool _arg )

virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coordinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

◆ TransformOutputPixel() [1/3]

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

template<template< typename, unsigned int > class P, class T , unsigned int VDimension>

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< Image< P< T, VDimension >, VDimension >> & it )

inlineprivate

Definition at line 245 of file itkGradientRecursiveGaussianImageFilter.h.

◆ TransformOutputPixel() [2/3]

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

template<typename T >

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< T > & it )

inlineprivate

Definition at line 217 of file itkGradientRecursiveGaussianImageFilter.h.

References itk::ImageConstIterator< TImage >::Get(), itk::ImageConstIterator< TImage >::GetImage(), itk::NumericTraits< T >::GetLength(), itk::DefaultConvertPixelTraits< PixelType >::GetNthComponent(), itk::ImageRegionIterator< TImage >::Set(), and itk::DefaultConvertPixelTraits< PixelType >::SetNthComponent().

◆ TransformOutputPixel() [3/3]

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

template<typename TValue >

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::TransformOutputPixel ( ImageRegionIterator< VectorImage< TValue, ImageDimension >> & it )

inlineprivate

Definition at line 205 of file itkGradientRecursiveGaussianImageFilter.h.

◆ UseImageDirectionOn()

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::UseImageDirectionOn ( )

virtual

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coordinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

constexpr unsigned int itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension

staticconstexpr

Image dimension.

Definition at line 83 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_DerivativeFilter

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

DerivativeFilterPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilter {}

private

Definition at line 254 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_ImageAdaptor

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

OutputImageAdaptorPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ImageAdaptor {}

private

Definition at line 255 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_NormalizeAcrossScale

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale {}

private

Normalize the image across scale space

Definition at line 258 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_Sigma

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

SigmaArrayType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Sigma {}

private

Standard deviation of the gaussian

Definition at line 264 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_SmoothingFilters

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

std::vector<GaussianFilterPointer> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters {}

private

Definition at line 253 of file itkGradientRecursiveGaussianImageFilter.h.

◆ m_UseImageDirection

template<typename TInputImage , typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageDirection { true }

private

Take into account image orientation when computing the Gradient

Definition at line 261 of file itkGradientRecursiveGaussianImageFilter.h.

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

itkGradientRecursiveGaussianImageFilter.h

Detailed Description

template<typename TInputImage, typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>> class itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ConstPointer

◆ CovariantVectorType

◆ DerivativeFilterPointer

◆ DerivativeFilterType

◆ GaussianFilterPointer

◆ GaussianFilterType

◆ GradientVectorType

◆ InputImageType

◆ InternalRealType

◆ InternalScalarRealType

◆ OutputComponentType

◆ OutputImageAdaptorPointer

◆ OutputImageAdaptorType

◆ OutputImagePointer

◆ OutputImageType

◆ OutputPixelType

◆ PixelType

◆ Pointer

◆ RealImageType

◆ RealType

◆ ScalarRealType

◆ Self

◆ SigmaArrayType

◆ Superclass

Constructor & Destructor Documentation

◆ GradientRecursiveGaussianImageFilter()

◆ ~GradientRecursiveGaussianImageFilter()

Member Function Documentation

◆ EnlargeOutputRequestedRegion()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GenerateOutputInformation()

◆ GetNameOfClass()

◆ GetNormalizeAcrossScale()

◆ GetSigma()

◆ GetSigmaArray()

◆ GetUseImageDirection()

◆ New()

◆ PrintSelf()

◆ SetNormalizeAcrossScale()

◆ SetSigma()

◆ SetSigmaArray()

◆ SetUseImageDirection()

◆ TransformOutputPixel() [1/3]

◆ TransformOutputPixel() [2/3]

◆ TransformOutputPixel() [3/3]

◆ UseImageDirectionOn()

Member Data Documentation

◆ ImageDimension

◆ m_DerivativeFilter

◆ m_ImageAdaptor

◆ m_NormalizeAcrossScale

◆ m_Sigma

◆ m_SmoothingFilters

◆ m_UseImageDirection

template<typename TInputImage, typename TOutputImage = Image< CovariantVector<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>
class itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >