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

#include <itkDiscreteGaussianDerivativeImageFilter.h>

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

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

Detailed Description

template<typename TInputImage, typename 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.

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 SmartPointer< const Self >	ConstPointer
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef SmartPointer< Self >	Pointer
typedef ImageToImageFilter	Self
typedef ImageSource< TOutputImage >	Superclass
Public Types inherited from itk::ImageSource< TOutputImage >
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef OutputImageType::PixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef ImageSource	Self
typedef ProcessObject	Superclass
Public Types inherited from itk::ProcessObject
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef std::vector < DataObjectIdentifierType >	NameArray
typedef SmartPointer< Self >	Pointer
typedef ProcessObject	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () 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 () const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput () override
virtual void	PopFrontInput () override
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)
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 (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput ()
const OutputImageType *	GetOutput () const
virtual void	GraftOutput (DataObject *output)
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
virtual ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData () const
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
NameArray	GetInputNames () const
DataObjectPointerArray	GetInputs ()
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
DataObjectPointerArray	GetOutputs ()
virtual const float &	GetProgress () const
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual void	PrepareOutputs ()
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)
void	SetProgress (float progress)
virtual void	SetReleaseDataFlag (bool flag)
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	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads () const
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 ()
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
virtual void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int) override
virtual void	UnRegister () const noexceptoverride
virtual void	SetObjectName (std::string _arg)
virtual const std::string &	GetObjectName () 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 Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
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 >
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension

Protected Member Functions
	DiscreteGaussianDerivativeImageFilter ()
void	GenerateData () override
virtual void	GenerateInputRequestedRegion () override
void	PrintSelf (std::ostream &os, Indent indent) const override
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 () override
	~ImageToImageFilter ()
void	PushBackInput (const DataObject *input) override
void	PushFrontInput (const DataObject *input) override
Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, 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 &)
bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const
bool	IsIndexedInputName (const DataObjectIdentifierType &) const
bool	IsIndexedOutputName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const
DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) 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 (DataObjectPointerArraySizeType idx)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryInputName (void) const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryOutputName (void) 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
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)
Protected Attributes inherited from itk::ProcessObject
TimeStamp	m_OutputInformationMTime
bool	m_Updating
Protected Attributes inherited from itk::LightObject
AtomicInt< int >	m_ReferenceCount

Member Typedef Documentation

template<typename TInputImage , typename TOutputImage >

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

Typedef of double containers

Definition at line 93 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 68 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Image type information.

Definition at line 74 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 85 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 84 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename 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<typename TInputImage , typename TOutputImage >

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

Definition at line 78 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 83 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename 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<typename TInputImage , typename TOutputImage >

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

Definition at line 67 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Standard class typedefs.

Definition at line 65 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 66 of file itkDiscreteGaussianDerivativeImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TOutputImage >

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

inlineprotected

Definition at line 194 of file itkDiscreteGaussianDerivativeImageFilter.h.

References itk::FixedArray< TValue, VLength >::Fill(), itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::ImageDimension, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_InternalNumberOfStreamDivisions, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_MaximumError, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_MaximumKernelWidth, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_Order, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_UseImageSpacing, and itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::m_Variance.

template<typename TInputImage , typename TOutputImage >

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

inlineprotectedvirtual

Definition at line 205 of file itkDiscreteGaussianDerivativeImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

private

Member Function Documentation

template<typename TInputImage , typename TOutputImage >

virtual::itk::LightObject::Pointer itk::DiscreteGaussianDerivativeImageFilter< 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.

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

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

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

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<typename TInputImage , typename TOutputImage >

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

virtual

template<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename TOutputImage >

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

static

Method for creation through the object factory.

template<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename TOutputImage >

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

private

template<typename TInputImage , typename TOutputImage >

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

overrideprotectedvirtual

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

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

template<typename TInputImage , typename 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<typename TInputImage , typename 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.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetMaximumError().

template<typename TInputImage , typename 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< TValue, VLength >::Fill(), and itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetMaximumError().

template<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetOrder().

template<typename TInputImage , typename 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< TValue, VLength >::Fill(), and itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetOrder().

template<typename TInputImage , typename 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<typename TInputImage , typename 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.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename 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< TValue, VLength >::Fill(), and itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename TOutputImage >

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

(

Concept::HasNumericTraits< OutputPixelType >

)

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

template<typename TInputImage , typename 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<typename TInputImage , typename 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<typename TInputImage , typename 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.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename 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 254 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename 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 240 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename TOutputImage >

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

private

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

Definition at line 244 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename TOutputImage >

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

private

Flag for scale-space normalization of derivatives.

Definition at line 250 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename TOutputImage >

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

private

The order of the derivatives in each dimensional direction.

Definition at line 231 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename TOutputImage >

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

private

Flag to indicate whether to use image spacing

Definition at line 247 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

template<typename TInputImage , typename TOutputImage >

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

private

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

Definition at line 235 of file itkDiscreteGaussianDerivativeImageFilter.h.

Referenced by itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::DiscreteGaussianDerivativeImageFilter().

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

• itkDiscreteGaussianDerivativeImageFilter.h