itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference
[Image Enhancement Filters, Image Feature Extraction Filters]

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). More...

#include <itkDiscreteGaussianImageFilter.h>

Inheritance diagram for itk::DiscreteGaussianImageFilter:

[legend]Collaboration diagram for itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >:

[legend]List of all members.

Public Types
typedef DiscreteGaussianImageFilter	Self
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef TOutputImage	OutputImageType
typedef TOutputImage::PixelType	OutputPixelType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef TInputImage::PixelType	InputPixelType
typedef TInputImage::InternalPixelType	InputInternalPixelType
Public Methods
virtual const char *	GetClassName () const
	itkStaticConstMacro (ImageDimension, unsigned int, TOutputImage::ImageDimension)
virtual void	GenerateInputRequestedRegion () throw (InvalidRequestedRegionError)
virtual void	SetVariance (double data[])
virtual void	SetVariance (float data[])
virtual const double *	GetVariance () const
virtual void	SetMaximumError (double data[])
virtual void	SetMaximumError (float data[])
virtual const double *	GetMaximumError () const
virtual int	GetMaximumKernelWidth ()
virtual void	SetMaximumKernelWidth (int _arg)
virtual unsigned int	GetFilterDimensionality ()
virtual void	SetFilterDimensionality (unsigned int _arg)
void	SetVariance (const double v)
void	SetMaximumError (const double v)
void	SetVariance (const float v)
void	SetMaximumError (const float v)
Static Public Methods
Pointer	New ()
Protected Methods
	DiscreteGaussianImageFilter ()
virtual	~DiscreteGaussianImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()

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Detailed Description

template<class TInputImage, class 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.)

See also:

GaussianOperator , Image , Neighborhood , NeighborhoodOperator

Todo:

Support for double precision data.

Definition at line 46 of file itkDiscreteGaussianImageFilter.h.

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Member Typedef Documentation

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 54 of file itkDiscreteGaussianImageFilter.h.

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

Image type information. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 63 of file itkDiscreteGaussianImageFilter.h.

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

Definition at line 71 of file itkDiscreteGaussianImageFilter.h.

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

Definition at line 70 of file itkDiscreteGaussianImageFilter.h.

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

Some convenient typedefs. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 64 of file itkDiscreteGaussianImageFilter.h.

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

Definition at line 69 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class 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 68 of file itkDiscreteGaussianImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 53 of file itkDiscreteGaussianImageFilter.h.

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

Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 51 of file itkDiscreteGaussianImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 52 of file itkDiscreteGaussianImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage> itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::DiscreteGaussianImageFilter (    )  [inline, protected]

Definition at line 132 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class TOutputImage> virtual itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::~DiscreteGaussianImageFilter (    )  [inline, protected, virtual]

Definition at line 143 of file itkDiscreteGaussianImageFilter.h.

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Member Function Documentation

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GenerateData (    )  [protected, virtual]

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 >.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion (    )  throw (InvalidRequestedRegionError) [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 >.

template<class TInputImage, class TOutputImage> virtual const char* itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetClassName (    )  const [virtual]

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

template<class TInputImage, class TOutputImage> virtual unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetFilterDimensionality (    )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual const double* itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumError (    )  const [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumKernelWidth (    )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual const double* itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetVariance (    )  const [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  ImageDimension   , unsigned    int, TOutputImage::ImageDimension    )

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

template<class TInputImage, class TOutputImage> Pointer itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::New (    )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::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::ImageToImageFilter< TInputImage, TOutputImage >.

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

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError (  const float    v )  [inline]

Convenience get/set methods for setting all dimensional parameters to the same values. Definition at line 115 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError (  const double    v )  [inline]

Convenience get/set methods for setting all dimensional parameters to the same values. Definition at line 99 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError (  float    data[] )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError (  double    data[] )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumKernelWidth (  int    _arg )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance (  const float    v )  [inline]

Convenience get/set methods for setting all dimensional parameters to the same values. Definition at line 109 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class TOutputImage> void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance (  const double    v )  [inline]

Convenience get/set methods for setting all dimensional parameters to the same values. Definition at line 93 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance (  float    data[] )  [virtual]

Standard get/set macros for filter parameters.

template<class TInputImage, class TOutputImage> virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance (  double    data[] )  [virtual]

Standard get/set macros for filter parameters.

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

• itkDiscreteGaussianImageFilter.h

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