itk::GaussianBlurImageFunction< TInputImage, TOutput > Class Template Reference

Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...

#include <itkGaussianBlurImageFunction.h>

Inheritance diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:

[legend]Collaboration diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:

[legend]List of all members.

Public Types
typedef GaussianBlurImageFunction	Self
typedef ImageFunction< TInputImage, TOutput >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef Superclass::IndexType	IndexType
typedef Superclass::ContinuousIndexType	ContinuousIndexType
typedef NeighborhoodOperatorImageFunction< InputImageType, TOutput >	OperatorImageFunctionType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef GaussianOperator< TOutput, itkGetStaticConstMacro(ImageDimension)	GaussianOperatorType )
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension)	NeighborhoodType )
typedef FixedArray< NeighborhoodType, itkGetStaticConstMacro(ImageDimension)	OperatorArrayType )
typedef GaussianSpatialFunction< TOutput, 1 >	GaussianFunctionType
typedef GaussianFunctionType::Pointer	GaussianFunctionPointer
typedef Superclass::PointType	PointType
Public Member Functions
virtual const char *	GetClassName () const
	itkStaticConstMacro (ImageDimension, unsigned int, InputImageType::ImageDimension)
virtual TOutput	Evaluate (const PointType &point) const
virtual TOutput	EvaluateAtIndex (const IndexType &index) const
virtual TOutput	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual void	SetInputImage (const InputImageType *ptr)
void	SetExtent (const double extent[ImageDimension])
void	SetExtent (const double extent)
const double *	GetExtent () const
void	SetSigma (const double sigma[ImageDimension])
void	SetSigma (const float sigma[ImageDimension])
void	SetSigma (const double sigma)
const double *	GetSigma () const
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	GaussianBlurImageFunction ()
	GaussianBlurImageFunction (const Self &)
	~GaussianBlurImageFunction ()
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
void	RecomputeGaussianKernel ()
void	RecomputeContinuousGaussianKernel (const double offset[ImageDimension]) const

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Detailed Description

template<class TInputImage, class TOutput = double>
class itk::GaussianBlurImageFunction< TInputImage, TOutput >

Compute the convolution of a neighborhood operator with the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.

See also:

NeighborhoodOperator

ImageFunction

Definition at line 38 of file itkGaussianBlurImageFunction.h.

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Member Typedef Documentation

template<class TInputImage, class TOutput = double> typedef SmartPointer<const Self> itk::GaussianBlurImageFunction< TInputImage, TOutput >::ConstPointer

Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 51 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::ContinuousIndexType itk::GaussianBlurImageFunction< TInputImage, TOutput >::ContinuousIndexType

ContinuousIndex Type. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 63 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 79 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef GaussianSpatialFunction<TOutput,1> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 78 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianOperator<TOutput, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianOperatorType)

Definition at line 74 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::IndexType itk::GaussianBlurImageFunction< TInputImage, TOutput >::IndexType

Index Type. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 62 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef TInputImage itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputImageType

InputImageType typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 60 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef InputImageType::PixelType itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 61 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Neighborhood<TOutput, itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::NeighborhoodType)

Definition at line 75 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef FixedArray<NeighborhoodType,itkGetStaticConstMacro(ImageDimension) itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType)

Definition at line 76 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef OperatorImageFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 66 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Definition at line 65 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef SmartPointer<Self> itk::GaussianBlurImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 50 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Superclass::PointType itk::GaussianBlurImageFunction< TInputImage, TOutput >::PointType

Point typedef support. Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 82 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianBlurImageFunction itk::GaussianBlurImageFunction< TInputImage, TOutput >::Self

Standard "Self" typedef Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 44 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent(), and itk::GaussianBlurImageFunction< TInputImage, TOutput >::~GaussianBlurImageFunction().

template<class TInputImage, class TOutput = double> typedef ImageFunction<TInputImage, TOutput> itk::GaussianBlurImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 47 of file itkGaussianBlurImageFunction.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction (   )  [protected]

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction (  const Self &   )  [inline, protected]

Definition at line 119 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::~GaussianBlurImageFunction (   )  [inline, protected]

Definition at line 121 of file itkGaussianBlurImageFunction.h. References itk::GaussianBlurImageFunction< TInputImage, TOutput >::Self.

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Member Function Documentation

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate (  const PointType &  point  )  const [virtual]

Evalutate the in the given dimension at specified point Implements itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex (  const ContinuousIndexType &  index  )  const [virtual]

Evaluate the function at specified ContinousIndex position. Implements itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex (  const IndexType &  index  )  const [virtual]

Evaluate the function at specified Index position Implements itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> virtual const char* itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetClassName (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> const double* itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent (   )  const [inline]

Definition at line 115 of file itkGaussianBlurImageFunction.h. References itk::GaussianBlurImageFunction< TInputImage, TOutput >::Self.

template<class TInputImage, class TOutput = double> const double* itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma (   )  const [inline]

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels. Definition at line 104 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> itk::GaussianBlurImageFunction< TInputImage, TOutput >::itkStaticConstMacro (  ImageDimension  , unsigned  int, InputImageType::ImageDimension  )

Dimension of the underlying image.

template<class TInputImage, class TOutput = double> Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::New (   )  [static]

Method for creation through the object factory.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator= (  const Self &   )  [inline, protected]

Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 123 of file itkGaussianBlurImageFunction.h. References itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer, itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType, and itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected]

Reimplemented from itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel (  const double  offset[ImageDimension]  )  const [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel (   )  [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  const double  extent  )

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  const double  extent[ImageDimension]  )

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetInputImage (  const InputImageType *  ptr  )  [virtual]

Set the input image. Warning: this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values. Reimplemented from itk::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const double  sigma  )

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const float  sigma[ImageDimension]  )

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  const double  sigma[ImageDimension]  )

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

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

• itkGaussianBlurImageFunction.h

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