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

#include <sitkSmoothingRecursiveGaussianImageFilter.h>

Inheritance diagram for itk::simple::SmoothingRecursiveGaussianImageFilter:

Collaboration diagram for itk::simple::SmoothingRecursiveGaussianImageFilter:

Public Types
typedef typelist::Append< BasicPixelIDTypeList, VectorPixelIDTypeList >::Type	PixelIDTypeList

typedef SmoothingRecursiveGaussianImageFilter	Self

Public Types inherited from itk::simple::ImageFilter< 1 >
typedef ImageFilter	Self

Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject	Self

Public Member Functions
Image	Execute (const Image &image1)

Image	Execute (const Image &image1, const std::vector< double > &sigma, bool normalizeAcrossScale)

std::string	GetName () const

bool	GetNormalizeAcrossScale () const

std::vector< double >	GetSigma () const

Self &	NormalizeAcrossScaleOff ()

Self &	NormalizeAcrossScaleOn ()

Self &	SetNormalizeAcrossScale (bool NormalizeAcrossScale)

Self &	SetSigma (const std::vector< double > &Sigma)

Self &	SetSigma (double value)

	SmoothingRecursiveGaussianImageFilter ()

std::string	ToString () const

virtual	~SmoothingRecursiveGaussianImageFilter ()

Public Member Functions inherited from itk::simple::ImageFilter< 1 >
	ImageFilter ()

virtual	~ImageFilter ()=0

Public Member Functions inherited from itk::simple::ProcessObject
virtual void	Abort ()

virtual int	AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
	Add a Command Object to observer the event. More...

virtual float	GetProgress () const
	An Active Measurement of the progress of execution. More...

virtual bool	HasCommand (itk::simple::EventEnum event) const
	Query of this object has any registered commands for event. More...

	ProcessObject ()

virtual void	RemoveAllCommands ()
	Remove all registered commands. More...

virtual	~ProcessObject ()

virtual void	DebugOn ()

virtual void	DebugOff ()

virtual bool	GetDebug () const

virtual void	SetDebug (bool debugFlag)

virtual void	SetNumberOfThreads (unsigned int n)

virtual unsigned int	GetNumberOfThreads () const

Private Types
typedef Image(Self::*	MemberFunctionType) (const Image &image1)

Private Member Functions
template<class TImageType >
Image	ExecuteInternal (const Image &image1)

Private Attributes
nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > >	m_MemberFactory

bool	m_NormalizeAcrossScale

std::vector< double >	m_Sigma

Friends
struct	detail::MemberFunctionAddressor< MemberFunctionType >

Additional Inherited Members
Static Public Member Functions inherited from itk::simple::ProcessObject
static bool	GetGlobalDefaultDebug ()

static void	GlobalDefaultDebugOff ()

static void	GlobalDefaultDebugOn ()

static void	SetGlobalDefaultDebug (bool debugFlag)

static void	GlobalWarningDisplayOn ()

static void	GlobalWarningDisplayOff ()

static void	SetGlobalWarningDisplay (bool flag)

static bool	GetGlobalWarningDisplay ()

static void	SetGlobalDefaultNumberOfThreads (unsigned int n)

static unsigned int	GetGlobalDefaultNumberOfThreads ()

static double	GetGlobalDefaultCoordinateTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultCoordinateTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

static double	GetGlobalDefaultDirectionTolerance ()
	Access the global tolerance to determine congruent spaces. More...

static void	SetGlobalDefaultDirectionTolerance (double)
	Access the global tolerance to determine congruent spaces. More...

Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long	AddITKObserver (const itk::EventObject &, itk::Command *)

virtual itk::ProcessObject *	GetActiveProcess ()

virtual void	OnActiveProcessDelete ()

virtual void	onCommandDelete (const itk::simple::Command *cmd) SITK_NOEXCEPT

virtual void	PreUpdate (itk::ProcessObject *p)

virtual void	RemoveITKObserver (EventCommand &e)

Protected Member Functions inherited from itk::simple::NonCopyable
	NonCopyable ()

Static Protected Member Functions inherited from itk::simple::ImageFilter< 1 >
static void	FixNonZeroIndex (TImageType *img)

Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer	CastImageToITK (const Image &img)

template<class TImageType >
static Image	CastITKToImage (TImageType *img)

template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image	CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)

static const itk::EventObject &	GetITKEventObject (EventEnum e)

template<typename T >
static std::ostream &	ToStringHelper (std::ostream &os, const T &v)

static std::ostream &	ToStringHelper (std::ostream &os, const char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const signed char &v)

static std::ostream &	ToStringHelper (std::ostream &os, const unsigned char &v)

Detailed Description

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.

See also: itk::simple::SmoothingRecursiveGaussian for the procedural interface; itk::SmoothingRecursiveGaussianImageFilter for the Doxygen on the original ITK class.

Examples:: SimpleGaussian/SimpleGaussian.cxx.

Definition at line 44 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::SmoothingRecursiveGaussianImageFilter::MemberFunctionType) (const Image &image1)

private

Setup for member function dispatching

Definition at line 109 of file sitkSmoothingRecursiveGaussianImageFilter.h.

typedef typelist::Append<BasicPixelIDTypeList, VectorPixelIDTypeList>::Type itk::simple::SmoothingRecursiveGaussianImageFilter::PixelIDTypeList

Define the pixels types supported by this filter

Definition at line 56 of file sitkSmoothingRecursiveGaussianImageFilter.h.

typedef SmoothingRecursiveGaussianImageFilter itk::simple::SmoothingRecursiveGaussianImageFilter::Self

Definition at line 46 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Constructor & Destructor Documentation

virtual itk::simple::SmoothingRecursiveGaussianImageFilter::~SmoothingRecursiveGaussianImageFilter ( )

virtual

Destructor

itk::simple::SmoothingRecursiveGaussianImageFilter::SmoothingRecursiveGaussianImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

Image itk::simple::SmoothingRecursiveGaussianImageFilter::Execute ( const Image & image1 )

Execute the filter on the input image

Examples:: SimpleGaussian/SimpleGaussian.cxx.

Image itk::simple::SmoothingRecursiveGaussianImageFilter::Execute	(	const Image &	image1,
		const std::vector< double > &	sigma,
		bool	normalizeAcrossScale
	)

Execute the filter on the input image with the given parameters

template<class TImageType >

Image itk::simple::SmoothingRecursiveGaussianImageFilter::ExecuteInternal ( const Image & image1 )

private

std::string itk::simple::SmoothingRecursiveGaussianImageFilter::GetName ( ) const

inlinevirtual

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 92 of file sitkSmoothingRecursiveGaussianImageFilter.h.

bool itk::simple::SmoothingRecursiveGaussianImageFilter::GetNormalizeAcrossScale ( ) const

inline

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See also: RecursiveGaussianImageFilter::SetNormalizeAcrossScale

Definition at line 90 of file sitkSmoothingRecursiveGaussianImageFilter.h.

std::vector<double> itk::simple::SmoothingRecursiveGaussianImageFilter::GetSigma ( ) const

inline

Get the Sigma scalar. If the Sigma is anisotropic, we will just return the Sigma along the first dimension.

Definition at line 72 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Self& itk::simple::SmoothingRecursiveGaussianImageFilter::NormalizeAcrossScaleOff ( )

inline

Definition at line 83 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Self& itk::simple::SmoothingRecursiveGaussianImageFilter::NormalizeAcrossScaleOn ( )

inline

Set the value of NormalizeAcrossScale to true or false respectfully.

Definition at line 82 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Self& itk::simple::SmoothingRecursiveGaussianImageFilter::SetNormalizeAcrossScale ( bool NormalizeAcrossScale )

inline

Set/Get the flag for normalizing the Gaussian over scale-space. This method does not effect the output of this filter.

See also: RecursiveGaussianImageFilter::SetNormalizeAcrossScale

Definition at line 79 of file sitkSmoothingRecursiveGaussianImageFilter.h.

Self& itk::simple::SmoothingRecursiveGaussianImageFilter::SetSigma ( const std::vector< double > & Sigma )

inline

Set the standard deviation of the Gaussian used for smoothing. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.