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itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference
[Image Enhancement FiltersImage 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:

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

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List of all members.

Public Types

typedef DiscreteGaussianImageFilter Self
typedef ImageToImageFilter<
TInputImage, TOutputImage > 
Superclass
typedef SmartPointer< SelfPointer
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 ()

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.


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.


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.


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::ImageToImageFilter< TInputImage, TOutputImage >.

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.


The documentation for this class was generated from the following file:
Generated at Wed Mar 12 01:15:44 2003 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000