Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More...

#include <itkSmoothingRecursiveGaussianImageFilter.h>

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

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

Public Types
typedef CastingFilterType::Pointer	CastingFilterPointer
typedef CastImageFilter < RealImageType, OutputImageType >	CastingFilterType
typedef SmartPointer< const Self >	ConstPointer
typedef FirstGaussianFilterType::Pointer	FirstGaussianFilterPointer
typedef RecursiveGaussianImageFilter < InputImageType, RealImageType >	FirstGaussianFilterType
typedef TInputImage	InputImageType
typedef InternalGaussianFilterType::Pointer	InternalGaussianFilterPointer
typedef RecursiveGaussianImageFilter < RealImageType, RealImageType >	InternalGaussianFilterType
typedef NumericTraits < PixelType >::FloatType	InternalRealType
typedef OutputImageType::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Image < InternalRealType, itkGetStaticConstMacro(ImageDimension) >	RealImageType
typedef NumericTraits < PixelType >::RealType	RealType
typedef NumericTraits < PixelType >::ScalarRealType	ScalarRealType
typedef SmoothingRecursiveGaussianImageFilter	Self
typedef FixedArray < ScalarRealType, itkGetStaticConstMacro(ImageDimension) >	SigmaArrayType
typedef InPlaceImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual bool	CanRunInPlace (void) const
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
ScalarRealType	GetSigma () const
SigmaArrayType	GetSigmaArray () const
void	SetNumberOfThreads (ThreadIdType nb)
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck

void	SetSigmaArray (const SigmaArrayType &sigmas)
void	SetSigma (ScalarRealType sigma)

void	SetNormalizeAcrossScale (bool normalizeInScaleSpace)
virtual bool	GetNormalizeAcrossScale () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *output)
void	GenerateData (void)
virtual void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )

	SmoothingRecursiveGaussianImageFilter ()
virtual	~SmoothingRecursiveGaussianImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Member Functions
void	operator= (const Self &)
	SmoothingRecursiveGaussianImageFilter (const Self &)
Private Attributes
CastingFilterPointer	m_CastingFilter
FirstGaussianFilterPointer	m_FirstSmoothingFilter
bool	m_NormalizeAcrossScale
SigmaArrayType	m_Sigma
InternalGaussianFilterPointer	m_SmoothingFilters [ImageDimension-1]

Detailed Description

template<typename TInputImage, typename TOutputImage = TInputImage>
class itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.

This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.

For this filter to be able to run in-place the input and output image types need to be the same and/or the same type as the RealImageType.

Wiki Examples:

All Examples

Gaussian smoothing that works with image adaptors

Definition at line 51 of file itkSmoothingRecursiveGaussianImageFilter.h.