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 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 itk::Image< double, itkGetStaticConstMacro(ImageDimension)	InternalImageType )
typedef InternalImageType::Pointer	InternalImagePointer
typedef NeighborhoodOperatorImageFunction< InternalImageType, TOutput >	OperatorImageFunctionType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef itk::CastImageFilter< InputImageType, InternalImageType >	CastImageFilterType
typedef CastImageFilterType::Pointer	CastImageFilterPointer
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	ErrorArrayType )
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	ExtentArrayType )
typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension)	SigmaArrayType )
typedef Superclass::PointType	PointType
Public Member Functions
virtual const char *	GetNameOfClass () 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	SetSigma (const double *sigma)
void	SetSigma (const float *sigma)
void	SetSigma (const double sigma)
virtual void	SetSigma (SigmaArrayType _arg)
virtual const SigmaArrayType &	GetSigma ()
virtual void	SetExtent (ExtentArrayType _arg)
virtual const ExtentArrayType &	GetExtent ()
void	SetExtent (const double *extent)
void	SetExtent (const double extent)
virtual void	SetMaximumError (ErrorArrayType _arg)
virtual const ErrorArrayType &	GetMaximumError ()
virtual void	SetMaximumKernelWidth (int _arg)
virtual int	GetMaximumKernelWidth ()
virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing ()
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
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) 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 39 of file itkGaussianBlurImageFunction.h.

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Member Typedef Documentation

template<class TInputImage, class TOutput = double> typedef CastImageFilterType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterPointer

Definition at line 87 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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

Definition at line 86 of file itkGaussianBlurImageFunction.h.

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

Reimplemented from itk::ImageFunction< TInputImage, TOutput >. Definition at line 52 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 64 of file itkGaussianBlurImageFunction.h.

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

Definition at line 90 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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

Definition at line 93 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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

Definition at line 78 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 77 of file itkGaussianBlurImageFunction.h.

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

Definition at line 73 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 63 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 61 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 62 of file itkGaussianBlurImageFunction.h.

template<class TInputImage, class TOutput = double> typedef InternalImageType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer

Definition at line 80 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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

Definition at line 79 of file itkGaussianBlurImageFunction.h.

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

Definition at line 74 of file itkGaussianBlurImageFunction.h.

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

Definition at line 75 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 84 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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

Definition at line 83 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 51 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 99 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 45 of file itkGaussianBlurImageFunction.h.

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

Definition at line 96 of file itkGaussianBlurImageFunction.h. Referenced by itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=().

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 48 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 168 of file itkGaussianBlurImageFunction.h.

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

Definition at line 170 of file itkGaussianBlurImageFunction.h.

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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 ExtentArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent (   )  [virtual]

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

template<class TInputImage, class TOutput = double> virtual const ErrorArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumError (   )  [virtual]

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

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

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

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

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

template<class TInputImage, class TOutput = double> virtual const SigmaArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma (   )  [virtual]

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> virtual bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetUseImageSpacing (   )  [virtual]

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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. Reimplemented from itk::Object.

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 172 of file itkGaussianBlurImageFunction.h. References itk::GaussianBlurImageFunction< TInputImage, TOutput >::CastImageFilterPointer, itk::GaussianBlurImageFunction< TInputImage, TOutput >::ErrorArrayType, itk::GaussianBlurImageFunction< TInputImage, TOutput >::ExtentArrayType, itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer, itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer, itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType, itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer, and itk::GaussianBlurImageFunction< TInputImage, TOutput >::SigmaArrayType.

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

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::ImageFunction< TInputImage, TOutput >.

template<class TInputImage, class TOutput = double> void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel (  const double *  offset  )  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  )

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

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

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent (  ExtentArrayType  _arg  )  [virtual]

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

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> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumError (  ErrorArrayType  _arg  )  [virtual]

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumKernelWidth (  int  _arg  )  [virtual]

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

template<class TInputImage, class TOutput = double> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma (  SigmaArrayType  _arg  )  [virtual]

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  )

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  )

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  )

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> virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetUseImageSpacing (  bool  _arg  )  [virtual]

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

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

• itkGaussianBlurImageFunction.h

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