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

#include <itkGradientRecursiveGaussianImageFilter.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DerivativeFilterType::Pointer	DerivativeFilterPointer
typedef RecursiveGaussianImageFilter < InputImageType, RealImageType >	DerivativeFilterType
typedef GaussianFilterType::Pointer	GaussianFilterPointer
typedef RecursiveGaussianImageFilter < RealImageType, RealImageType >	GaussianFilterType
typedef TInputImage	InputImageType
typedef float	InternalRealType
typedef PixelTraits < OutputPixelType >::ValueType	OutputComponentType
typedef OutputImageAdaptorType::Pointer	OutputImageAdaptorPointer
typedef NthElementImageAdaptor < TOutputImage, InternalRealType >	OutputImageAdaptorType
typedef TOutputImage::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Image < InternalRealType, itkGetStaticConstMacro(ImageDimension) >	RealImageType
typedef NumericTraits < PixelType >::RealType	RealType
typedef GradientRecursiveGaussianImageFilter	Self
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
Public Types inherited from itk::ImageSource< TOutputImage >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
virtual const char *	GetNameOfClass () const
void	SetSigma (RealType sigma)
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
	typedef (Concept::HasPixelTraits< OutputPixelType >) OutputHasPixelTraitsCheck
void	SetNormalizeAcrossScale (bool normalizeInScaleSpace)
virtual bool	GetNormalizeAcrossScale () const
virtual void	SetUseImageDirection (bool _arg)
virtual bool	GetUseImageDirection () const
virtual void	UseImageDirectionOn ()
virtual void	UseImageDirectionOff ()
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	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
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

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

Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *output)
void	GenerateData (void)
	GradientRecursiveGaussianImageFilter ()
virtual	~GradientRecursiveGaussianImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
	ImageToImageFilter ()
virtual void	VerifyInputInformation ()
	~ImageToImageFilter ()
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~ImageSource ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
	ProcessObject ()
virtual void	PropagateResetPipeline ()
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 num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Member Functions
	GradientRecursiveGaussianImageFilter (const Self &)
void	operator= (const Self &)

Private Attributes
DerivativeFilterPointer	m_DerivativeFilter
OutputImageAdaptorPointer	m_ImageAdaptor
bool	m_NormalizeAcrossScale
std::vector < GaussianFilterPointer >	m_SmoothingFilters
bool	m_UseImageDirection

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

---

Detailed Description

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

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

This filter is implemented using the recursive gaussian filters

Wiki Examples:

• All Examples

• Compute the gradient of an image by convolution with the first derivative of a Gaussian

Definition at line 54 of file itkGradientRecursiveGaussianImageFilter.h.

---

Member Typedef Documentation

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

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

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

Definition at line 62 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef DerivativeFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer

Pointer to a derivative filter.

Definition at line 106 of file itkGradientRecursiveGaussianImageFilter.h.

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

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

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

Definition at line 100 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef GaussianFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer

Pointer to a gaussian filter.

Definition at line 103 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType

Smoothing filter type

Definition at line 94 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef TInputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType

Pixel Type of the input image

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

Definition at line 65 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef float itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType

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 77 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef PixelTraits< OutputPixelType >::ValueType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType

Definition at line 114 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef OutputImageAdaptorType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer

Definition at line 88 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef NthElementImageAdaptor< TOutputImage, InternalRealType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType

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 86 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef TOutputImage::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Pointer to the Output Image

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 109 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef TOutputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType

Type of the output Image

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 112 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef OutputImageType::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 113 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef TInputImage::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType

Definition at line 66 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef SmartPointer< Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer

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

Definition at line 61 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef Image< InternalRealType, itkGetStaticConstMacro(ImageDimension) > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType

Definition at line 79 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef NumericTraits< PixelType >::RealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType

Definition at line 67 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef GradientRecursiveGaussianImageFilter itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

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

Definition at line 59 of file itkGradientRecursiveGaussianImageFilter.h.

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

typedef ImageToImageFilter< TInputImage, TOutputImage > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass

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

Definition at line 60 of file itkGradientRecursiveGaussianImageFilter.h.

---

Constructor & Destructor Documentation

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

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

protected

End concept checking

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

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

inlineprotectedvirtual

End concept checking

Definition at line 167 of file itkGradientRecursiveGaussianImageFilter.h.

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

itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter ( const Self &  )

private

---

Member Function Documentation

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

virtual::itk::LightObject::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) 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.

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

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

protectedvirtual

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented from itk::ProcessObject.

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

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

protectedvirtual

Generate Data

Reimplemented from itk::ImageSource< TOutputImage >.

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

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

virtual

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

See also:

ImageToImageFilter::GenerateInputRequestedRegion()

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

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

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

virtual

Runtime information support.

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

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

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

virtual

Define which normalization factor will be used for the Gaussian

See also:

RecursiveGaussianImageFilter::SetNormalizeAcrossScale

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

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

virtual

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

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

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

static

Method for creation through the object factory.

Reimplemented from itk::Object.

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

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::operator= ( const Self &  )

private

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

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

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

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

protectedvirtual

End concept checking

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

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

void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale

(

bool

normalizeInScaleSpace

)

Define which normalization factor will be used for the Gaussian

See also:

RecursiveGaussianImageFilter::SetNormalizeAcrossScale

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

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

(

RealType

sigma

)

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

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

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

virtual

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

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

itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::HasNumericTraits< PixelType >

)

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< PixelType > )

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

itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::HasPixelTraits< OutputPixelType >

)

This class requires OutputHasPixelTraitsCheck in the form of ( Concept::HasPixelTraits< OutputPixelType > )

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

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

virtual

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

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

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

virtual

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

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Member Data Documentation

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

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

static

Image dimension.

Definition at line 71 of file itkGradientRecursiveGaussianImageFilter.h.

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

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

private

Definition at line 185 of file itkGradientRecursiveGaussianImageFilter.h.

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

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

private

Definition at line 186 of file itkGradientRecursiveGaussianImageFilter.h.

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

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

private

Normalize the image across scale space

Definition at line 189 of file itkGradientRecursiveGaussianImageFilter.h.

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

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

private

Definition at line 184 of file itkGradientRecursiveGaussianImageFilter.h.

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

bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageDirection

private

Take into account image orientation when computing the Gradient

Definition at line 192 of file itkGradientRecursiveGaussianImageFilter.h.

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

• itkGradientRecursiveGaussianImageFilter.h