itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkHessianRecursiveGaussianImageFilter.h>

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

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

Public Types
using	ConstPointer = SmartPointer< const Self >
using	DerivativeFilterAPointer = typename DerivativeFilterAType::Pointer
using	DerivativeFilterAType = RecursiveGaussianImageFilter< InputImageType, RealImageType >
using	DerivativeFilterBPointer = typename DerivativeFilterBType::Pointer
using	DerivativeFilterBType = RecursiveGaussianImageFilter< RealImageType, RealImageType >
using	GaussianFilterPointer = typename GaussianFilterType::Pointer
using	GaussianFiltersArray = std::vector< GaussianFilterPointer >
using	GaussianFilterType = RecursiveGaussianImageFilter< RealImageType, RealImageType >
using	InputImageType = TInputImage
using	InternalRealType = float
using	OutputComponentType = typename PixelTraits< OutputPixelType >::ValueType
using	OutputImageAdaptorPointer = typename OutputImageAdaptorType::Pointer
using	OutputImageAdaptorType = NthElementImageAdaptor< TOutputImage, InternalRealType >
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, TInputImage::ImageDimension >
using	RealType = typename NumericTraits< PixelType >::RealType
using	Self = HessianRecursiveGaussianImageFilter
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::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 void	SetNumberOfWorkUnits (ThreadIdType _arg)
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 constexpr unsigned int	NumberOfSmoothingFilters
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
GaussianFiltersArray	m_SmoothingFilters
DerivativeFilterAPointer	m_DerivativeFilterA
DerivativeFilterBPointer	m_DerivativeFilterB
OutputImageAdaptorPointer	m_ImageAdaptor
bool	m_NormalizeAcrossScale
void	SetSigma (RealType sigma)
RealType	GetSigma () const
void	SetNormalizeAcrossScale (bool normalize)
virtual bool	GetNormalizeAcrossScale () const
void	GenerateInputRequestedRegion () override
	HessianRecursiveGaussianImageFilter ()
	~HessianRecursiveGaussianImageFilter () override=default
void	PrintSelf (std::ostream &os, Indent indent) const override
void	GenerateData () 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::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	AllocateOutputs ()
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	ReleaseInputs ()
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 = Image<SymmetricSecondRankTensor<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>
class itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian.

This filter is implemented using the recursive gaussian filters

Examples

Examples/Filtering/VesselnessMeasureImageFilter.cxx, and SphinxExamples/src/Filtering/ImageFeature/SegmentBloodVessels/Code.cxx.

Definition at line 47 of file itkHessianRecursiveGaussianImageFilter.h.

Member Typedef Documentation

ConstPointer

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

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

Definition at line 56 of file itkHessianRecursiveGaussianImageFilter.h.

DerivativeFilterAPointer

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterAPointer = typename DerivativeFilterAType::Pointer

Pointer to a derivative filter.

Definition at line 98 of file itkHessianRecursiveGaussianImageFilter.h.

DerivativeFilterAType

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterAType = RecursiveGaussianImageFilter<InputImageType, RealImageType>

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

Definition at line 89 of file itkHessianRecursiveGaussianImageFilter.h.

DerivativeFilterBPointer

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterBPointer = typename DerivativeFilterBType::Pointer

Definition at line 99 of file itkHessianRecursiveGaussianImageFilter.h.

DerivativeFilterBType

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterBType = RecursiveGaussianImageFilter<RealImageType, RealImageType>

Definition at line 91 of file itkHessianRecursiveGaussianImageFilter.h.

GaussianFilterPointer

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

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

Pointer to a gaussian filter.

Definition at line 94 of file itkHessianRecursiveGaussianImageFilter.h.

GaussianFiltersArray

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFiltersArray = std::vector<GaussianFilterPointer>

Definition at line 95 of file itkHessianRecursiveGaussianImageFilter.h.

GaussianFilterType

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

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

Smoothing filter type

Definition at line 86 of file itkHessianRecursiveGaussianImageFilter.h.

InputImageType

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

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

Pixel Type of the input image

Definition at line 59 of file itkHessianRecursiveGaussianImageFilter.h.

InternalRealType

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType = float

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 74 of file itkHessianRecursiveGaussianImageFilter.h.

OutputComponentType

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType = typename PixelTraits<OutputPixelType>::ValueType

Definition at line 107 of file itkHessianRecursiveGaussianImageFilter.h.

OutputImageAdaptorPointer

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

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

Definition at line 83 of file itkHessianRecursiveGaussianImageFilter.h.

OutputImageAdaptorType

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

using itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType = NthElementImageAdaptor<TOutputImage, InternalRealType>

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 81 of file itkHessianRecursiveGaussianImageFilter.h.

OutputImagePointer

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

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

Pointer to the Output Image

Definition at line 102 of file itkHessianRecursiveGaussianImageFilter.h.

OutputImageType

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

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

Type of the output Image

Definition at line 105 of file itkHessianRecursiveGaussianImageFilter.h.

OutputPixelType

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

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

Definition at line 106 of file itkHessianRecursiveGaussianImageFilter.h.

PixelType

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

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

Definition at line 60 of file itkHessianRecursiveGaussianImageFilter.h.

Pointer

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

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

Definition at line 55 of file itkHessianRecursiveGaussianImageFilter.h.

RealImageType

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

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

Definition at line 75 of file itkHessianRecursiveGaussianImageFilter.h.

RealType

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

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

Definition at line 61 of file itkHessianRecursiveGaussianImageFilter.h.

Self

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

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

Standard class type aliases.

Definition at line 53 of file itkHessianRecursiveGaussianImageFilter.h.

Superclass

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

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

Definition at line 54 of file itkHessianRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

HessianRecursiveGaussianImageFilter()

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

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

protected

Normalize the image across scale space

~HessianRecursiveGaussianImageFilter()

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

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

overrideprotecteddefault

Normalize the image across scale space

Member Function Documentation

CreateAnother()

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

virtual::itk::LightObject::Pointer itk::HessianRecursiveGaussianImageFilter< 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 = Image<SymmetricSecondRankTensor<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

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

overrideprotectedvirtual

Normalize the image across scale space

Reimplemented from itk::ProcessObject.

GenerateData()

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

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

overrideprotectedvirtual

Generate Data

Reimplemented from itk::ImageSource< TOutputImage >.

GenerateInputRequestedRegion()

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

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

overridevirtual

HessianRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, HessianRecursiveGaussianImageFilter 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 = Image<SymmetricSecondRankTensor<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

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

virtual

Run-time type information (and related methods).

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

GetNormalizeAcrossScale()

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

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

virtual

Normalize the image across scale space

GetSigma()

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

RealType itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetSigma

(

)

const

Normalize the image across scale space

New()

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

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

static

Method for creation through the object factory.

PrintSelf()

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

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

overrideprotectedvirtual

Normalize the image across scale space

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

SetNormalizeAcrossScale()

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

void itk::HessianRecursiveGaussianImageFilter< 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<SymmetricSecondRankTensor<typename NumericTraits<typename TInputImage::PixelType>::RealType, TInputImage::ImageDimension>, TInputImage::ImageDimension>>

void itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma

(

RealType

sigma

)

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

Member Data Documentation

ImageDimension

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

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

staticconstexpr

Image dimension.

Definition at line 64 of file itkHessianRecursiveGaussianImageFilter.h.

m_DerivativeFilterA

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

DerivativeFilterAPointer itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilterA

private

Normalize the image across scale space

Definition at line 161 of file itkHessianRecursiveGaussianImageFilter.h.

m_DerivativeFilterB

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

DerivativeFilterBPointer itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilterB

private

Normalize the image across scale space

Definition at line 162 of file itkHessianRecursiveGaussianImageFilter.h.

m_ImageAdaptor

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

OutputImageAdaptorPointer itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ImageAdaptor

private

Normalize the image across scale space

Definition at line 163 of file itkHessianRecursiveGaussianImageFilter.h.

m_NormalizeAcrossScale

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

bool itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale

private

Normalize the image across scale space

Definition at line 166 of file itkHessianRecursiveGaussianImageFilter.h.

m_SmoothingFilters

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

GaussianFiltersArray itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters

private

Normalize the image across scale space

Definition at line 160 of file itkHessianRecursiveGaussianImageFilter.h.

NumberOfSmoothingFilters

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

constexpr unsigned int itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::NumberOfSmoothingFilters

staticconstexpr

Initial value:

=
    (TInputImage::ImageDimension > 2) ? (TInputImage::ImageDimension - 2) : (0)

Number of smoothing filters.

Definition at line 67 of file itkHessianRecursiveGaussianImageFilter.h.

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

• itkHessianRecursiveGaussianImageFilter.h