#include <itkSmoothingRecursiveGaussianImageFilter.h>

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

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

Public Types
using	CastingFilterPointer = typename CastingFilterType::Pointer

using	CastingFilterType = CastImageFilter< RealImageType, OutputImageType >

using	ConstPointer = SmartPointer< const Self >

using	FirstGaussianFilterPointer = typename FirstGaussianFilterType::Pointer

using	FirstGaussianFilterType = RecursiveGaussianImageFilter< InputImageType, RealImageType >

using	InputImageType = TInputImage

using	InternalGaussianFilterPointer = typename InternalGaussianFilterType::Pointer

using	InternalGaussianFilterType = RecursiveGaussianImageFilter< RealImageType, RealImageType >

using	InternalRealType = typename NumericTraits< PixelType >::FloatType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageType = TOutputImage

using	PixelType = typename TInputImage::PixelType

using	Pointer = SmartPointer< Self >

using	RealImageType = typename InputImageType::template Rebind< InternalRealType >::Type

using	RealType = typename NumericTraits< PixelType >::RealType

using	ScalarRealType = typename NumericTraits< PixelType >::ScalarRealType

using	Self = SmoothingRecursiveGaussianImageFilter

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

using	Superclass = InPlaceImageFilter< TInputImage, TOutputImage >

Public Types inherited from itk::InPlaceImageFilter< 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	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImagePointer = typename Superclass::OutputImagePointer

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

using	OutputImageType = typename Superclass::OutputImageType

using	Pointer = SmartPointer< Self >

using	Self = InPlaceImageFilter

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	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

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
virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual const char *	GetNameOfClass () const

Public Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
virtual void	SetInPlace (bool _arg)

virtual bool	GetInPlace () const

virtual void	InPlaceOn ()

virtual void	InPlaceOff ()

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 ()

const OutputImageType *	GetOutput () const

OutputImageType *	GetOutput (unsigned int idx)

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	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

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	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

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	ReleaseDataBeforeUpdateFlagOff ()

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

MultiThreaderType *	GetMultiThreader () const

void	SetMultiThreader (MultiThreaderType *threader)

virtual void	PrepareOutputs ()

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

unsigned long	AddObserver (const EventObject &event, Command *) const

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

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)

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 void	SetGlobalDefaultDirectionTolerance (double)

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static double	GetGlobalDefaultCoordinateTolerance ()

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::InPlaceImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int	InputImageDimension = TInputImage::ImageDimension

static constexpr unsigned int	OutputImageDimension = TOutputImage::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

InternalGaussianFilterPointer	m_SmoothingFilters [ImageDimension - 1]

FirstGaussianFilterPointer	m_FirstSmoothingFilter

CastingFilterPointer	m_CastingFilter

bool	m_NormalizeAcrossScale { false }

SigmaArrayType	m_Sigma

void	SetSigmaArray (const SigmaArrayType &sigma)

void	SetSigma (ScalarRealType sigma)

SigmaArrayType	GetSigmaArray () const

ScalarRealType	GetSigma () const

void	SetNormalizeAcrossScale (bool normalize)

virtual bool	GetNormalizeAcrossScale () const

virtual void	NormalizeAcrossScaleOn ()

virtual void	NormalizeAcrossScaleOff ()

void	SetNumberOfWorkUnits (ThreadIdType nb) override

bool	CanRunInPlace () const override

	SmoothingRecursiveGaussianImageFilter ()

	~SmoothingRecursiveGaussianImageFilter () override=default

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

void	GenerateData () override

void	GenerateInputRequestedRegion () override

void	EnlargeOutputRequestedRegion (DataObject *output) override

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 >

Protected Member Functions inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage >
	InPlaceImageFilter ()=default

	~InPlaceImageFilter () override=default

void	AllocateOutputs () override

void	ReleaseInputs () override

virtual bool	GetRunningInPlace () const

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
	ImageToImageFilter ()

	~ImageToImageFilter () override=default

void	VerifyInputInformation () ITKv5_CONST override

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

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

void	PushBackInput (const DataObject *input) override

void	PushFrontInput (const DataObject *input) override

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

	~ImageSource () override=default

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

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

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual void	BeforeThreadedGenerateData ()

virtual void	AfterThreadedGenerateData ()

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

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

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

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

	~ProcessObject () override

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

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

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	AddInput (DataObject *input)

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

virtual void	SetPrimaryInput (DataObject *object)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

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

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

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual void	SetPrimaryOutput (DataObject *object)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

virtual void	AddOutput (DataObject *output)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

virtual void	VerifyPreconditions () ITKv5_CONST

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual void	GenerateOutputInformation ()

virtual void	PropagateResetPipeline ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	RestoreInputReleaseDataFlags ()

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

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

	~Object () override

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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 ()

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
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

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

Protected Attributes inherited from itk::ProcessObject
bool	m_Updating

TimeStamp	m_OutputInformationMTime

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

Detailed Description

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

Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.

This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.

For this filter to be able to run in-place the input and output image types need to be the same and/or the same type as the RealImageType.

Examples: Examples/Filtering/SmoothingRecursiveGaussianImageFilter2.cxx, Examples/IO/DicomSeriesReadGaussianImageWrite.cxx, and SphinxExamples/src/Filtering/Smoothing/ComputesSmoothingWithGaussianKernel/Code.cxx.

Definition at line 50 of file itkSmoothingRecursiveGaussianImageFilter.h.

Member Typedef Documentation

◆ CastingFilterPointer

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterPointer = typename CastingFilterType::Pointer

Pointer to the casting image filter.

Definition at line 99 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ CastingFilterType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CastingFilterType = CastImageFilter<RealImageType, OutputImageType>

Typedef for the casting image filter.

Definition at line 90 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ ConstPointer

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 59 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ FirstGaussianFilterPointer

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterPointer = typename FirstGaussianFilterType::Pointer

Pointer to the first Gaussian smoothing filter.

Definition at line 96 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ FirstGaussianFilterType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::FirstGaussianFilterType = RecursiveGaussianImageFilter<InputImageType, RealImageType>

Typedef for the first Gaussian smoothing in the pipeline.

Definition at line 84 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Pixel type alias.

Definition at line 62 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ InternalGaussianFilterPointer

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterPointer = typename InternalGaussianFilterType::Pointer

Pointer to the internal Gaussian filter.

Definition at line 93 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ InternalGaussianFilterType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalGaussianFilterType = RecursiveGaussianImageFilter<RealImageType, RealImageType>

Typedef for the internal Gaussian smoothing filter.

Definition at line 87 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ InternalRealType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType = typename NumericTraits<PixelType>::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 80 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Pointer to the Output Image

Definition at line 102 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 63 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ PixelType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 64 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 58 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ RealImageType

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType = typename InputImageType::template Rebind<InternalRealType>::Type

Definition at line 81 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ RealType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 65 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ ScalarRealType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Definition at line 66 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Standard class type aliases.

Definition at line 56 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ SigmaArrayType

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Define the type for the sigma array.

Definition at line 75 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage = TInputImage>

using itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass = InPlaceImageFilter<TInputImage, TOutputImage>

Definition at line 57 of file itkSmoothingRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

◆ SmoothingRecursiveGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

protected

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

◆ ~SmoothingRecursiveGaussianImageFilter()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotecteddefault

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Member Function Documentation

◆ CanRunInPlace()

template<typename TInputImage , typename TOutputImage = TInputImage>

bool itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CanRunInPlace ( ) const

overridevirtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

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

◆ CreateAnother()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual::itk::LightObject::Pointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother ( ) const

virtual

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

Reimplemented from itk::Object.

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Reimplemented from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

SmoothingRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, SmoothingRecursiveGaussianImageFilter 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 >.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

virtual

Runtime information support.

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

◆ GetNormalizeAcrossScale()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

virtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

◆ GetSigma()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

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

◆ GetSigmaArray()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Get the Sigma value.

◆ New()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

static

Method for creation through the object factory.

◆ NormalizeAcrossScaleOff()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::NormalizeAcrossScaleOff ( )

virtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

◆ NormalizeAcrossScaleOn()

template<typename TInputImage , typename TOutputImage = TInputImage>

virtual void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::NormalizeAcrossScaleOn ( )

virtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

overrideprotectedvirtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

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

◆ SetNormalizeAcrossScale()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See also: RecursiveGaussianImageFilter::SetNormalizeAcrossScale

◆ SetNumberOfWorkUnits()

template<typename TInputImage , typename TOutputImage = TInputImage>

void itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNumberOfWorkUnits ( ThreadIdType nb )

overridevirtual

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Reimplemented from itk::ProcessObject.

◆ SetSigma()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

◆ SetSigmaArray()

template<typename TInputImage , typename TOutputImage = TInputImage>

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

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage = TInputImage>

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

staticconstexpr

Image dimension.

Definition at line 72 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ m_CastingFilter

template<typename TInputImage , typename TOutputImage = TInputImage>

CastingFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_CastingFilter

private

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Definition at line 175 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ m_FirstSmoothingFilter

template<typename TInputImage , typename TOutputImage = TInputImage>

FirstGaussianFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_FirstSmoothingFilter

private

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Definition at line 174 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ m_NormalizeAcrossScale

template<typename TInputImage , typename TOutputImage = TInputImage>

bool itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale { false }

private

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Definition at line 177 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ m_Sigma

template<typename TInputImage , typename TOutputImage = TInputImage>

SigmaArrayType itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_Sigma

private

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Definition at line 179 of file itkSmoothingRecursiveGaussianImageFilter.h.

◆ m_SmoothingFilters

template<typename TInputImage , typename TOutputImage = TInputImage>

InternalGaussianFilterPointer itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters[ImageDimension - 1]

private

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.

Definition at line 173 of file itkSmoothingRecursiveGaussianImageFilter.h.

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

itkSmoothingRecursiveGaussianImageFilter.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

◆ CastingFilterPointer

◆ CastingFilterType

◆ ConstPointer

◆ FirstGaussianFilterPointer

◆ FirstGaussianFilterType

◆ InputImageType

◆ InternalGaussianFilterPointer

◆ InternalGaussianFilterType

◆ InternalRealType

◆ OutputImagePointer

◆ OutputImageType

◆ PixelType

◆ Pointer

◆ RealImageType

◆ RealType

◆ ScalarRealType

◆ Self

◆ SigmaArrayType

◆ Superclass

Constructor & Destructor Documentation

◆ SmoothingRecursiveGaussianImageFilter()

◆ ~SmoothingRecursiveGaussianImageFilter()

Member Function Documentation

◆ CanRunInPlace()

◆ CreateAnother()

◆ EnlargeOutputRequestedRegion()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GetNameOfClass()

◆ GetNormalizeAcrossScale()

◆ GetSigma()

◆ GetSigmaArray()

◆ New()

◆ NormalizeAcrossScaleOff()

◆ NormalizeAcrossScaleOn()

◆ PrintSelf()

◆ SetNormalizeAcrossScale()

◆ SetNumberOfWorkUnits()

◆ SetSigma()

◆ SetSigmaArray()

Member Data Documentation

◆ ImageDimension

◆ m_CastingFilter

◆ m_FirstSmoothingFilter

◆ m_NormalizeAcrossScale

◆ m_Sigma

◆ m_SmoothingFilters

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