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

#include <itkDiscreteGaussianImageFilter.h>

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

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

Detailed Description

template<typename TInputImage, typename TOutputImage>
class itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >

Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel).

The Gaussian operator used here was described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.) The Gaussian kernel used here was designed so that smoothing and derivative operations commute after discretization.

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.

See Also

GaussianOperator

Image

Neighborhood

NeighborhoodOperator

RecursiveGaussianImageFilter

Wiki Examples:

• All Examples
• Smooth an image with a discrete Gaussian filter

Examples:

Filtering/DiscreteGaussianImageFilter.cxx, RegistrationITKv3/ImageRegistration2.cxx, RegistrationITKv3/ImageRegistrationHistogramPlotter.cxx, RegistrationITKv3/ModelToImageRegistration1.cxx, RegistrationITKv4/ImageRegistration2.cxx, RegistrationITKv4/ImageRegistrationHistogramPlotter.cxx, and RegistrationITKv4/ModelToImageRegistration1.cxx.

Definition at line 62 of file itkDiscreteGaussianImageFilter.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 NumericTraits < InputPixelType >::ValueType	InputPixelValueType
typedef TOutputImage	OutputImageType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef TOutputImage::PixelType	OutputPixelType
typedef NumericTraits < OutputPixelType >::ValueType	OutputPixelValueType
typedef SmartPointer< Self >	Pointer
typedef DiscreteGaussianImageFilter	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 (void) const
virtual void	GenerateInputRequestedRegion ()
virtual const unsigned int &	GetInternalNumberOfStreamDivisions () const
virtual const char *	GetNameOfClass () const
virtual void	SetInternalNumberOfStreamDivisions (unsigned int _arg)
void	SetMaximumError (const typename ArrayType::ValueType v)
void	SetMaximumError (const double *v)
void	SetMaximumError (const float *v)
void	SetUseImageSpacingOff ()
void	SetUseImageSpacingOn ()
void	SetVariance (const double *v)
void	SetVariance (const float *v)
	typedef (Concept::HasNumericTraits< OutputPixelValueType >) OutputHasNumericTraitsCheck
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)
virtual unsigned int	GetFilterDimensionality () const
virtual void	SetFilterDimensionality (unsigned int _arg)
void	SetVariance (const typename ArrayType::ValueType v)
virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing () const
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)
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 (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) ITK_OVERRIDE
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData () const
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 () const
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	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float progress)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
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 (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) 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 ITK_OVERRIDE
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int) ITK_OVERRIDE
virtual void	UnRegister () const ITK_OVERRIDE
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
	DiscreteGaussianImageFilter ()
void	GenerateData ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~DiscreteGaussianImageFilter ()
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 ()
virtual const ImageRegionSplitterBase *	GetImageRegionSplitter (void) 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)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const
bool	IsIndexedInputName (const DataObjectIdentifierType &) const
bool	IsIndexedOutputName (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)
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	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
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
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const
bool	AddRequiredInputName (const DataObjectIdentifierType &)
bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
void	SetRequiredInputNames (const NameArray &)
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
	DiscreteGaussianImageFilter (const Self &)
void	operator= (const Self &)

Private Attributes
unsigned int	m_FilterDimensionality
unsigned int	m_InternalNumberOfStreamDivisions
ArrayType	m_MaximumError
int	m_MaximumKernelWidth
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
Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType
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
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock

Member Typedef Documentation

template<typename TInputImage , typename TOutputImage >

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

Typedef of double containers

Definition at line 99 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 70 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Image type information.

Definition at line 76 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 87 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 86 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef NumericTraits<InputPixelType>::ValueType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputPixelValueType

Pixel value type for Vector pixel types

Definition at line 90 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 80 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 85 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

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

Definition at line 84 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

typedef NumericTraits<OutputPixelType>::ValueType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelValueType

Definition at line 91 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 69 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Standard class typedefs.

Definition at line 67 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

Definition at line 68 of file itkDiscreteGaussianImageFilter.h.

Constructor & Destructor Documentation

template<typename TInputImage , typename TOutputImage >

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

inlineprotected

Definition at line 239 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

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

inlineprotectedvirtual

Definition at line 249 of file itkDiscreteGaussianImageFilter.h.

template<typename TInputImage , typename TOutputImage >

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

private

Member Function Documentation

template<typename TInputImage , typename TOutputImage >

virtual::itk::LightObject::Pointer itk::DiscreteGaussianImageFilter< 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.

Reimplemented in itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< 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 >.

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TInputImage , typename TOutputImage >

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

virtual

DiscreteGaussianImageFilter needs a larger input requested region than the output requested region (larger by the size of the Gaussian kernel). As such, DiscreteGaussianImageFilter 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 >.

Reimplemented in itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >.

template<typename TInputImage , typename TOutputImage >

virtual unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetFilterDimensionality ( ) const

virtual

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

template<typename TInputImage , typename TOutputImage >

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

virtual

template<typename TInputImage , typename TOutputImage >

virtual const ArrayType itk::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

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

Reimplemented in itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TInputImage , typename TOutputImage >

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

virtual

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

template<typename TInputImage , typename TOutputImage >

virtual const ArrayType itk::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

template<typename TInputImage , typename TOutputImage >

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

private

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< 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 >.

Reimplemented in itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

template<typename TInputImage , typename TOutputImage >

virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetFilterDimensionality ( unsigned int  _arg )

virtual

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

template<typename TInputImage , typename TOutputImage >

virtual void itk::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError().

template<typename TInputImage , typename TOutputImage >

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

inline

Definition at line 142 of file itkDiscreteGaussianImageFilter.h.

References itk::FixedArray< TValue, VLength >::Fill(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumError, and itk::Object::Modified().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const double *  v )

inline

Definition at line 170 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension, and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const float *  v )

inline

Definition at line 181 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension, and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError().

template<typename TInputImage , typename TOutputImage >

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

virtual

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

Referenced by itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOff(), and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOn().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOff ( )

inline

Ignore the image spacing. Use this option if you want to specify Gaussian variance in pixels. Default is ImageSpacingOn.

Definition at line 200 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacing().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOn ( )

inline

Use the image spacing information in calculations. Use this option if you want to specify Gaussian variance in real world units. Default is ImageSpacingOn.

Definition at line 195 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacing().

template<typename TInputImage , typename TOutputImage >

virtual void itk::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename TOutputImage >

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

inline

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

Definition at line 135 of file itkDiscreteGaussianImageFilter.h.

References itk::FixedArray< TValue, VLength >::Fill(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_Variance, and itk::Object::Modified().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const double *  v )

inline

Definition at line 148 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension, and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename TOutputImage >

void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const float *  v )

inline

Definition at line 159 of file itkDiscreteGaussianImageFilter.h.

References itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension, and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename TOutputImage >

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

(

Concept::HasNumericTraits< OutputPixelValueType >

)

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

Member Data Documentation

template<typename TInputImage , typename TOutputImage >

const unsigned int itk::DiscreteGaussianImageFilter< 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 96 of file itkDiscreteGaussianImageFilter.h.

Referenced by itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::DiscreteGaussianImageFilter(), itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError(), and itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance().

template<typename TInputImage , typename TOutputImage >

unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_FilterDimensionality

private

Number of dimensions to process. Default is all dimensions

Definition at line 277 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

unsigned int itk::DiscreteGaussianImageFilter< 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 284 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

ArrayType itk::DiscreteGaussianImageFilter< 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 270 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

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

private

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

Definition at line 274 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

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

private

Flag to indicate whether to use image spacing

Definition at line 280 of file itkDiscreteGaussianImageFilter.h.

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

template<typename TInputImage , typename TOutputImage >

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

private

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

Definition at line 265 of file itkDiscreteGaussianImageFilter.h.

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

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

• itkDiscreteGaussianImageFilter.h