#include <itkDiscreteGaussianImageFilter.h>

Detailed Description

template<typename TInputImage, typename TOutputImage = TInputImage>
class itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >

Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel).

The Gaussian operator used here was described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.) The Gaussian kernel used here was designed so that smoothing and derivative operations commute after discretization.

The variance or standard deviation (sigma) will be evaluated as pixel units if SetUseImageSpacing is off (false) or as physical units if SetUseImageSpacing is on (true, default). The variance can be set independently in each dimension.

When the Gaussian kernel is small, this filter tends to run faster than itk::RecursiveGaussianImageFilter.

See also: GaussianOperator; Image; Neighborhood; NeighborhoodOperator; RecursiveGaussianImageFilter

ITK Sphinx Examples:

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Definition at line 64 of file itkDiscreteGaussianImageFilter.h.

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

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

Public Types
using	ArrayType = FixedArray< double, Self::ImageDimension >

using	BoundaryConditionType = ImageBoundaryCondition< TInputImage >

using	ConstPointer = SmartPointer< const Self >

using	InputDefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition< TInputImage >

using	InputImageType = TInputImage

using	InputInternalPixelType = typename TInputImage::InternalPixelType

using	InputPixelType = typename TInputImage::PixelType

using	InputPixelValueType = typename NumericTraits< InputPixelType >::ValueType

using	KernelType = GaussianOperator< RealOutputPixelValueType, ImageDimension >

using	OutputImageType = TOutputImage

using	OutputInternalPixelType = typename TOutputImage::InternalPixelType

using	OutputPixelType = typename TOutputImage::PixelType

using	OutputPixelValueType = typename NumericTraits< OutputPixelType >::ValueType

using	Pointer = SmartPointer< Self >

using	RadiusType = typename KernelType::RadiusType

using	RealBoundaryConditionPointerType = ImageBoundaryCondition< RealOutputImageType > *

using	RealDefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition< RealOutputImageType >

using	RealOutputImageType = Image< OutputPixelType, ImageDimension >

using	RealOutputPixelType = typename NumericTraits< OutputPixelType >::RealType

using	RealOutputPixelValueType = typename NumericTraits< RealOutputPixelType >::ValueType

using	ScalarRealType = double

using	Self = DiscreteGaussianImageFilter

using	SigmaArrayType = ArrayType

using	Superclass = ImageToImageFilter< TInputImage, TOutputImage >

Public Types inherited from itk::ImageToImageFilter< TInputImage, TInputImage >
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< TInputImage >

Public Types inherited from itk::ImageSource< TInputImage >
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 = TInputImage

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
ArrayType	GetKernelRadius () const

unsigned int	GetKernelRadius (const unsigned int dimension) const

ArrayType	GetKernelSize () const

const char *	GetNameOfClass () const override

double	GetSigma () const

	itkLegacyMacro (unsigned int GetInternalNumberOfStreamDivisions() const ;) itkLegacyMacro(void SetInternalNumberOfStreamDivisions(unsigned int)

void	SetMaximumError (const double *v)

void	SetMaximumError (const float *v)

void	SetMaximumError (const typename ArrayType::ValueType v)

void	SetSigma (const ArrayType &sigma)

void	SetVariance (const double *v)

void	SetVariance (const float *v)


virtual void	SetVariance (ArrayType _arg)

virtual const ArrayType	GetVariance () const


virtual void	SetMaximumError (ArrayType _arg)

virtual const ArrayType	GetMaximumError () const


virtual unsigned int	GetMaximumKernelWidth () const

virtual void	SetMaximumKernelWidth (unsigned int _arg)


virtual unsigned int	GetFilterDimensionality () const

virtual void	SetFilterDimensionality (unsigned int _arg)


virtual void	SetInputBoundaryCondition (BoundaryConditionType *_arg)

virtual BoundaryConditionType *	GetInputBoundaryCondition () const

virtual void	SetRealBoundaryCondition (RealBoundaryConditionPointerType _arg)

virtual RealBoundaryConditionPointerType	GetRealBoundaryCondition () const


void	SetVariance (const typename ArrayType::ValueType v)


void	SetSigmaArray (const ArrayType &sigmas)

void	SetSigma (double sigma)


ArrayType	GetSigmaArray () const


virtual void	SetUseImageSpacing (bool _arg)

virtual bool	GetUseImageSpacing () const

virtual void	UseImageSpacingOn ()

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

const InputImageType *	GetInput (unsigned int idx) const

const char *	GetNameOfClass () const override

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< TInputImage >
const char *	GetNameOfClass () const override

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 void	EnlargeOutputRequestedRegion (DataObject *)

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

MultiThreaderType *	GetMultiThreader () const

const char *	GetNameOfClass () const override

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 DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)

virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)

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

const char *	GetNameOfClass () const override

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 Pointer	CreateAnother () const

virtual void	Delete ()

virtual const char *	GetNameOfClass () const

virtual int	GetReferenceCount () const

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

virtual void	Register () const

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const noexcept

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TInputImage >
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 = TOutputImage::ImageDimension

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

static constexpr unsigned int	OutputImageDimension

Static Public Attributes inherited from itk::ImageSource< TInputImage >
static constexpr unsigned int	OutputImageDimension

Protected Member Functions
	DiscreteGaussianImageFilter ()

void	GenerateData () override

void	GenerateInputRequestedRegion () override

void	GenerateKernel (const unsigned int dimension, KernelType &oper) const

ArrayType	GetKernelVarianceArray () const

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

	~DiscreteGaussianImageFilter () override=default

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

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

void	GenerateInputRequestedRegion () override

	ImageToImageFilter ()

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

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< TInputImage >
virtual void	AfterThreadedGenerateData ()

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

void	GenerateData () override

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

	ImageSource ()

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

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	GenerateData ()

virtual void	GenerateInputRequestedRegion ()

virtual void	GenerateOutputInformation ()

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

virtual void	PopBackInput ()

virtual void	PopFrontInput ()

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

	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	VerifyInputInformation () const

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

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

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

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

virtual	~LightObject ()

Private Attributes
unsigned int	m_FilterDimensionality {}

BoundaryConditionType *	m_InputBoundaryCondition {}

InputDefaultBoundaryConditionType	m_InputDefaultBoundaryCondition {}

ArrayType	m_MaximumError {}

unsigned int	m_MaximumKernelWidth {}

RealBoundaryConditionPointerType	m_RealBoundaryCondition {}

RealDefaultBoundaryConditionType	m_RealDefaultBoundaryCondition {}

bool	m_UseImageSpacing {}

ArrayType	m_Variance {}

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

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

Static Protected Member Functions inherited from itk::ImageSource< TInputImage >
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< TInputImage >
bool	m_DynamicMultiThreading

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

◆ ArrayType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ArrayType = FixedArray<double, Self::ImageDimension>

Typedef of double containers

Definition at line 116 of file itkDiscreteGaussianImageFilter.h.

◆ BoundaryConditionType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::BoundaryConditionType = ImageBoundaryCondition<TInputImage>

Typedef to describe the boundary condition.

Definition at line 106 of file itkDiscreteGaussianImageFilter.h.

◆ ConstPointer

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 73 of file itkDiscreteGaussianImageFilter.h.

◆ InputDefaultBoundaryConditionType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputDefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition<TInputImage>

Definition at line 111 of file itkDiscreteGaussianImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Image type information.

Definition at line 82 of file itkDiscreteGaussianImageFilter.h.

◆ InputInternalPixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputInternalPixelType = typename TInputImage::InternalPixelType

Definition at line 90 of file itkDiscreteGaussianImageFilter.h.

◆ InputPixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputPixelType = typename TInputImage::PixelType

Definition at line 89 of file itkDiscreteGaussianImageFilter.h.

◆ InputPixelValueType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputPixelValueType = typename NumericTraits<InputPixelType>::ValueType

Pixel value type for Vector pixel types

Definition at line 93 of file itkDiscreteGaussianImageFilter.h.

◆ KernelType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::KernelType = GaussianOperator<RealOutputPixelValueType, ImageDimension>

Type of kernel to be used in blurring

Definition at line 121 of file itkDiscreteGaussianImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 83 of file itkDiscreteGaussianImageFilter.h.

◆ OutputInternalPixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputInternalPixelType = typename TOutputImage::InternalPixelType

Definition at line 88 of file itkDiscreteGaussianImageFilter.h.

◆ OutputPixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 87 of file itkDiscreteGaussianImageFilter.h.

◆ OutputPixelValueType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelValueType = typename NumericTraits<OutputPixelType>::ValueType

Definition at line 94 of file itkDiscreteGaussianImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 72 of file itkDiscreteGaussianImageFilter.h.

◆ RadiusType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RadiusType = typename KernelType::RadiusType

Definition at line 122 of file itkDiscreteGaussianImageFilter.h.

◆ RealBoundaryConditionPointerType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RealBoundaryConditionPointerType = ImageBoundaryCondition<RealOutputImageType> *

Definition at line 112 of file itkDiscreteGaussianImageFilter.h.

◆ RealDefaultBoundaryConditionType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RealDefaultBoundaryConditionType = ZeroFluxNeumannBoundaryCondition<RealOutputImageType>

Definition at line 113 of file itkDiscreteGaussianImageFilter.h.

◆ RealOutputImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RealOutputImageType = Image<OutputPixelType, ImageDimension>

Definition at line 102 of file itkDiscreteGaussianImageFilter.h.

◆ RealOutputPixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RealOutputPixelType = typename NumericTraits<OutputPixelType>::RealType

Type of the pixel to use for intermediate results

Definition at line 101 of file itkDiscreteGaussianImageFilter.h.

◆ RealOutputPixelValueType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::RealOutputPixelValueType = typename NumericTraits<RealOutputPixelType>::ValueType

Definition at line 103 of file itkDiscreteGaussianImageFilter.h.

◆ ScalarRealType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType = double

Definition at line 118 of file itkDiscreteGaussianImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Standard class type aliases.

Definition at line 70 of file itkDiscreteGaussianImageFilter.h.

◆ SigmaArrayType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SigmaArrayType = ArrayType

Definition at line 117 of file itkDiscreteGaussianImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 71 of file itkDiscreteGaussianImageFilter.h.

Constructor & Destructor Documentation

◆ DiscreteGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

inlineprotected

Definition at line 341 of file itkDiscreteGaussianImageFilter.h.

◆ ~DiscreteGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotecteddefault

Member Function Documentation

◆ GenerateData()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

Standard pipeline method. While this class does not implement a ThreadedGenerateData(), its GenerateData() delegates all calculations to an NeighborhoodOperatorImageFilter. Since the NeighborhoodOperatorImageFilter is multithreaded, this filter is multithreaded by default.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

DiscreteGaussianImageFilter needs a larger input requested region than the output requested region (larger by the size of the Gaussian kernel). As such, DiscreteGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See also: ImageToImageFilter::GenerateInputRequestedRegion()

Reimplemented from itk::ProcessObject.

◆ GenerateKernel()

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GenerateKernel	(	const unsigned int	dimension,
		KernelType &	oper
	)		const

protected

Build a directional kernel to match user specifications

◆ GetFilterDimensionality()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetFilterDimensionality ( ) const

virtual

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

◆ GetInputBoundaryCondition()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual BoundaryConditionType * itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetInputBoundaryCondition ( ) const

virtual

Set/get the boundary condition.

◆ GetKernelRadius() [1/2]

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetKernelRadius ( ) const

Get the radius of the separable kernel in each direction

◆ GetKernelRadius() [2/2]

template<typename TInputImage , typename TOutputImage = TInputImage>

unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetKernelRadius ( const unsigned int dimension ) const

Get the radius of the generated directional kernel

◆ GetKernelSize()

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetKernelSize ( ) const

Get the size of the separable kernel in each direction. size[i] = radius[i] * 2 + 1

◆ GetKernelVarianceArray()

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetKernelVarianceArray ( ) const

protected

Get the variance, optionally adjusted for pixel spacing

◆ GetMaximumError()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual const ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumError ( ) const

virtual

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.

◆ GetMaximumKernelWidth()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumKernelWidth ( ) const

virtual

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::ProcessObject.

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

◆ GetRealBoundaryCondition()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual RealBoundaryConditionPointerType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetRealBoundaryCondition ( ) const

virtual

Set/get the boundary condition.

◆ GetSigma()

template<typename TInputImage , typename TOutputImage = TInputImage>

double itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetSigma ( ) const

inline

Get the Sigma scalar. If the Sigma is anisotropic, we will just return the Sigma along the first dimension.

Definition at line 247 of file itkDiscreteGaussianImageFilter.h.

◆ GetSigmaArray()

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetSigmaArray ( ) const

inline

Get the Sigma value.

Definition at line 233 of file itkDiscreteGaussianImageFilter.h.

◆ GetUseImageSpacing()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual bool itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetUseImageSpacing ( ) const

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Use On to take the image spacing information into account and to specify the Gaussian variance in real world units; use Off to ignore the image spacing and to specify the Gaussian variance in voxel units. Default is On.

◆ GetVariance()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual const ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetVariance ( ) const

virtual

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

◆ itkLegacyMacro()

template<typename TInputImage , typename TOutputImage = TInputImage>

itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::itkLegacyMacro ( unsigned int GetInternalNumberOfStreamDivisions() const ; )

Set/Get number of pieces to divide the input for the internal composite pipeline. The upstream pipeline will not be effected.

The default value is $ImageDimension^2$.

This parameter was introduced to reduce the memory used by images internally, at the cost of performance.

◆ New()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< 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::ProcessObject.

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

◆ SetFilterDimensionality()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetFilterDimensionality ( unsigned int _arg )

virtual

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

◆ SetInputBoundaryCondition()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetInputBoundaryCondition ( BoundaryConditionType * _arg )

virtual

Set/get the boundary condition.

Reimplemented in itk::FFTDiscreteGaussianImageFilter< TInputImage, TOutputImage >.

◆ SetMaximumError() [1/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( ArrayType _arg )

virtual

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.

◆ SetMaximumError() [2/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const double * v )

inline

Definition at line 253 of file itkDiscreteGaussianImageFilter.h.

◆ SetMaximumError() [3/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const float * v )

inline

Definition at line 265 of file itkDiscreteGaussianImageFilter.h.

◆ SetMaximumError() [4/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const typename ArrayType::ValueType v )

inline

Definition at line 174 of file itkDiscreteGaussianImageFilter.h.

◆ SetMaximumKernelWidth()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumKernelWidth ( unsigned int _arg )

virtual

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

◆ SetRealBoundaryCondition()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetRealBoundaryCondition ( RealBoundaryConditionPointerType _arg )

virtual

Set/get the boundary condition.

◆ SetSigma() [1/2]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( const ArrayType & sigma )

inline

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing.

Definition at line 207 of file itkDiscreteGaussianImageFilter.h.

◆ SetSigma() [2/2]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetSigma ( double sigma )

inline

SetSigmaArray is preserved for interface backwards compatibility.

Definition at line 225 of file itkDiscreteGaussianImageFilter.h.

◆ SetSigmaArray()

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetSigmaArray ( const ArrayType & sigmas )

inline

SetSigmaArray is preserved for interface backwards compatibility.

Definition at line 220 of file itkDiscreteGaussianImageFilter.h.

◆ SetUseImageSpacing()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacing ( bool _arg )

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Use On to take the image spacing information into account and to specify the Gaussian variance in real world units; use Off to ignore the image spacing and to specify the Gaussian variance in voxel units. Default is On.

◆ SetVariance() [1/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( ArrayType _arg )

virtual

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

◆ SetVariance() [2/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const double * v )

inline

Definition at line 181 of file itkDiscreteGaussianImageFilter.h.

◆ SetVariance() [3/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const float * v )

inline

Definition at line 193 of file itkDiscreteGaussianImageFilter.h.

◆ SetVariance() [4/4]

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const typename ArrayType::ValueType v )

inline

Convenience Set methods for setting all dimensional parameters to the same values.

Definition at line 166 of file itkDiscreteGaussianImageFilter.h.

◆ UseImageSpacingOn()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::UseImageSpacingOn ( )

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Use On to take the image spacing information into account and to specify the Gaussian variance in real world units; use Off to ignore the image spacing and to specify the Gaussian variance in voxel units. Default is On.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage = TInputImage>

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

staticconstexpr

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 98 of file itkDiscreteGaussianImageFilter.h.

◆ m_FilterDimensionality

template<typename TInputImage , typename TOutputImage = TInputImage>

unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_FilterDimensionality {}

private

Number of dimensions to process. Default is all dimensions

Definition at line 396 of file itkDiscreteGaussianImageFilter.h.

◆ m_InputBoundaryCondition

template<typename TInputImage , typename TOutputImage = TInputImage>

BoundaryConditionType* itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_InputBoundaryCondition {}

private

Pointer to a persistent boundary condition object used for the image iterator.

Definition at line 403 of file itkDiscreteGaussianImageFilter.h.

◆ m_InputDefaultBoundaryCondition

template<typename TInputImage , typename TOutputImage = TInputImage>

InputDefaultBoundaryConditionType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_InputDefaultBoundaryCondition {}

private

Default boundary condition

Definition at line 406 of file itkDiscreteGaussianImageFilter.h.

◆ m_MaximumError

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumError {}

private

The maximum error of the gaussian blurring kernel in each dimensional direction. For definition of maximum error, see GaussianOperator.

See also: GaussianOperator

Definition at line 389 of file itkDiscreteGaussianImageFilter.h.

◆ m_MaximumKernelWidth

template<typename TInputImage , typename TOutputImage = TInputImage>

unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumKernelWidth {}

private

Maximum allowed kernel width for any dimension of the discrete Gaussian approximation

Definition at line 393 of file itkDiscreteGaussianImageFilter.h.

◆ m_RealBoundaryCondition

template<typename TInputImage , typename TOutputImage = TInputImage>

RealBoundaryConditionPointerType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_RealBoundaryCondition {}

private

Boundary condition use for the intermediate filters

Definition at line 409 of file itkDiscreteGaussianImageFilter.h.

◆ m_RealDefaultBoundaryCondition

template<typename TInputImage , typename TOutputImage = TInputImage>

RealDefaultBoundaryConditionType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_RealDefaultBoundaryCondition {}

private

Default boundary condition use for the intermediate filters

Definition at line 412 of file itkDiscreteGaussianImageFilter.h.

◆ m_UseImageSpacing

template<typename TInputImage , typename TOutputImage = TInputImage>

bool itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageSpacing {}

private

Flag to indicate whether to use image spacing

Definition at line 399 of file itkDiscreteGaussianImageFilter.h.

◆ m_Variance

template<typename TInputImage , typename TOutputImage = TInputImage>

ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_Variance {}

private

The variance of the gaussian blurring kernel in each dimensional direction.

Definition at line 384 of file itkDiscreteGaussianImageFilter.h.

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

itkDiscreteGaussianImageFilter.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ ArrayType

◆ BoundaryConditionType

◆ ConstPointer

◆ InputDefaultBoundaryConditionType

◆ InputImageType

◆ InputInternalPixelType

◆ InputPixelType

◆ InputPixelValueType

◆ KernelType

◆ OutputImageType

◆ OutputInternalPixelType

◆ OutputPixelType

◆ OutputPixelValueType

◆ Pointer

◆ RadiusType

◆ RealBoundaryConditionPointerType

◆ RealDefaultBoundaryConditionType

◆ RealOutputImageType

◆ RealOutputPixelType

◆ RealOutputPixelValueType

◆ ScalarRealType

◆ Self

◆ SigmaArrayType

◆ Superclass

Constructor & Destructor Documentation

◆ DiscreteGaussianImageFilter()

◆ ~DiscreteGaussianImageFilter()

Member Function Documentation

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GenerateKernel()

◆ GetFilterDimensionality()

◆ GetInputBoundaryCondition()

◆ GetKernelRadius() [1/2]

◆ GetKernelRadius() [2/2]

◆ GetKernelSize()

◆ GetKernelVarianceArray()

◆ GetMaximumError()

◆ GetMaximumKernelWidth()

◆ GetNameOfClass()

◆ GetRealBoundaryCondition()

◆ GetSigma()

◆ GetSigmaArray()

◆ GetUseImageSpacing()

◆ GetVariance()

◆ itkLegacyMacro()

◆ New()

◆ PrintSelf()

◆ SetFilterDimensionality()

◆ SetInputBoundaryCondition()

◆ SetMaximumError() [1/4]

◆ SetMaximumError() [2/4]

◆ SetMaximumError() [3/4]

◆ SetMaximumError() [4/4]

◆ SetMaximumKernelWidth()

◆ SetRealBoundaryCondition()

◆ SetSigma() [1/2]

◆ SetSigma() [2/2]

◆ SetSigmaArray()

◆ SetUseImageSpacing()

◆ SetVariance() [1/4]

◆ SetVariance() [2/4]

◆ SetVariance() [3/4]

◆ SetVariance() [4/4]

◆ UseImageSpacingOn()

Member Data Documentation

◆ ImageDimension

◆ m_FilterDimensionality

◆ m_InputBoundaryCondition

◆ m_InputDefaultBoundaryCondition

◆ m_MaximumError