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

#include <itkDiscreteGaussianDerivativeImageFilter.h>

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

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

List of all members.

Public Types
typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) >	ArrayType
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef TInputImage::InternalPixelType	InputInternalPixelType
typedef TInputImage::PixelType	InputPixelType
typedef FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension) >	OrderArrayType
typedef TOutputImage	OutputImageType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef TOutputImage::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef DiscreteGaussianDerivativeImageFilter	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
typedef OutputImageType::Pointer	OutputImagePointer
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 unsigned int	GetInternalNumberOfStreamDivisions () const
virtual const char *	GetNameOfClass () const
virtual void	SetInternalNumberOfStreamDivisions (unsigned int _arg)
	typedef (Concept::HasNumericTraits< OutputPixelType >) OutputHasNumericTraitsCheck
virtual void	SetOrder (OrderArrayType _arg)
virtual const OrderArrayType	GetOrder () const
virtual void	SetVariance (ArrayType _arg)
virtual const ArrayType	GetVariance () const
virtual void	SetMaximumError (ArrayType _arg)
virtual const ArrayType	GetMaximumError () const
virtual int	GetMaximumKernelWidth () const
virtual void	SetMaximumKernelWidth (int _arg)
void	SetOrder (const typename OrderArrayType::ValueType v)
void	SetVariance (const typename ArrayType::ValueType v)
void	SetMaximumError (const typename ArrayType::ValueType v)
virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing () const
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
virtual void	SetNormalizeAcrossScale (bool _arg)
virtual bool	GetNormalizeAcrossScale () const
virtual void	NormalizeAcrossScaleOn ()
virtual void	NormalizeAcrossScaleOff ()
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 void	EnlargeOutputRequestedRegion (DataObject *)
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 = TOutputImage::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
	DiscreteGaussianDerivativeImageFilter ()
void	GenerateData ()
virtual void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~DiscreteGaussianDerivativeImageFilter ()
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
	DiscreteGaussianDerivativeImageFilter (const Self &)
void	operator= (const Self &)

Private Attributes
unsigned int	m_InternalNumberOfStreamDivisions
ArrayType	m_MaximumError
int	m_MaximumKernelWidth
bool	m_NormalizeAcrossScale
OrderArrayType	m_Order
bool	m_UseImageSpacing
ArrayType	m_Variance

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<class TInputImage, class TOutputImage>
class itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >

Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel).

The Gaussian operators used here were described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.)

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

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

Author:

Ivan Macia, VICOMTech, Spain, http://www.vicomtech.es

This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/1290

See also:

GaussianDerivativeOperator

Image

Neighborhood

NeighborhoodOperator

Definition at line 60 of file itkDiscreteGaussianDerivativeImageFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::ArrayType

Typedef of double containers

Definition at line 93 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

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

Definition at line 68 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Image type information.

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

Definition at line 74 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage::InternalPixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::InputInternalPixelType

Definition at line 85 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage::PixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::InputPixelType

Definition at line 84 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension) > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OrderArrayType

Array for storing desired order of derivatives

Definition at line 96 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 78 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage::InternalPixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OutputInternalPixelType

Definition at line 83 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage::PixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OutputPixelType

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

Definition at line 82 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

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

Definition at line 67 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Standard class typedefs.

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

Definition at line 65 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

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

Definition at line 66 of file itkDiscreteGaussianDerivativeImageFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

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

inlineprotected

End concept checking

Definition at line 194 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

inlineprotectedvirtual

Definition at line 205 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

private

---

Member Function Documentation

template<class TInputImage , class TOutputImage >

virtual::itk::LightObject::Pointer itk::DiscreteGaussianDerivativeImageFilter< 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<class TInputImage , class TOutputImage >

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

protectedvirtual

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

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage >

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

protectedvirtual

DiscreteGaussianDerivativeImageFilter needs a larger input requested region than the output requested region (larger by the size of the Gaussian kernel). As such, DiscreteGaussianDerivativeImageFilter 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<class TInputImage , class TOutputImage >

virtual unsigned int itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::GetInternalNumberOfStreamDivisions ( ) const

virtual

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

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

virtual

Run-time type information (and related methods).

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

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutputImage >

virtual const OrderArrayType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::GetOrder ( ) const

virtual

Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v). The default is 1 in each dimension.

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

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

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutputImage >

void itk::DiscreteGaussianDerivativeImageFilter< 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<class TInputImage , class TOutputImage >

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

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

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

template<class TInputImage , class TOutputImage >

virtual void itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetInternalNumberOfStreamDivisions ( unsigned int  _arg )

virtual

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

The default value is $ImageDimension^2$.

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

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

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

inline

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

Definition at line 160 of file itkDiscreteGaussianDerivativeImageFilter.h.

References itk::FixedArray< TValueType, VLength >::Fill().

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

virtual void itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale ( bool  _arg )

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutputImage >

virtual void itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetOrder ( OrderArrayType  _arg )

virtual

Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v). The default is 1 in each dimension.

template<class TInputImage , class TOutputImage >

void itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetOrder ( const typename OrderArrayType::ValueType  v )

inline

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

Definition at line 144 of file itkDiscreteGaussianDerivativeImageFilter.h.

References itk::FixedArray< TValueType, VLength >::Fill().

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

template<class TInputImage , class TOutputImage >

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

virtual

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

template<class TInputImage , class TOutputImage >

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

inline

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

Definition at line 152 of file itkDiscreteGaussianDerivativeImageFilter.h.

References itk::FixedArray< TValueType, VLength >::Fill().

template<class TInputImage , class TOutputImage >

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

(

Concept::HasNumericTraits< OutputPixelType >

)

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

template<class TInputImage , class TOutputImage >

virtual void itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::UseImageSpacingOff ( )

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

template<class TInputImage , class TOutputImage >

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

virtual

Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.

---

Member Data Documentation

template<class TInputImage , class TOutputImage >

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

static

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

Definition at line 90 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_InternalNumberOfStreamDivisions

private

Number of pieces to divide the input on the internal composite pipeline. The upstream pipeline will not be effected.

Definition at line 255 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

ArrayType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_MaximumError

private

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

See also:

GaussianOperator

Definition at line 241 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

int itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_MaximumKernelWidth

private

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

Definition at line 245 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

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

private

Flag for scale-space normalization of derivatives.

Definition at line 251 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

OrderArrayType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_Order

private

The order of the derivatives in each dimensional direction.

Definition at line 232 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

bool itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_UseImageSpacing

private

Flag to indicate whether to use image spacing

Definition at line 248 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<class TInputImage , class TOutputImage >

ArrayType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_Variance

private

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

Definition at line 236 of file itkDiscreteGaussianDerivativeImageFilter.h.

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

• itkDiscreteGaussianDerivativeImageFilter.h