itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference
[Image Gradient Filters, Singlethreaded Filters]

Computes the gradient of an image by convolution with the first derivative of a Gaussian. More...

#include <itkGradientRecursiveGaussianImageFilter.h>

Inheritance diagram for itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >:

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

[legend]List of all members.

Public Types
typedef GradientRecursiveGaussianImageFilter	Self
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef TInputImage::PixelType	PixelType
typedef NumericTraits< PixelType >::RealType	RealType
typedef float	InternalRealType
typedef Image< InternalRealType, itkGetStaticConstMacro(ImageDimension)	RealImageType )
typedef NthElementImageAdaptor< TOutputImage, InternalRealType >	OutputImageAdaptorType
typedef OutputImageAdaptorType::Pointer	OutputImageAdaptorPointer
typedef RecursiveGaussianImageFilter< RealImageType, RealImageType >	GaussianFilterType
typedef RecursiveGaussianImageFilter< InputImageType, RealImageType >	DerivativeFilterType
typedef GaussianFilterType::Pointer	GaussianFilterPointer
typedef DerivativeFilterType::Pointer	DerivativeFilterPointer
typedef TOutputImage::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef PixelTraits< OutputPixelType >::ValueType	OutputComponentType
typedef MemberCommand< Self >	CommandType
typedef CommandType::Pointer	CommandPointer
Public Member Functions
	itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)
void	SetSigma (RealType sigma)
virtual void	GenerateInputRequestedRegion () throw (InvalidRequestedRegionError)
void	SetNormalizeAcrossScale (bool normalizeInScaleSpace)
virtual bool	GetNormalizeAcrossScale ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	GradientRecursiveGaussianImageFilter ()
virtual	~GradientRecursiveGaussianImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData (void)
void	EnlargeOutputRequestedRegion (DataObject *output)
void	ReportProgress (const Object *object, const EventObject &event)

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Detailed Description

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >>
class itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the gradient of an image by convolution with the first derivative of a Gaussian.

This filter is implemented using the recursive gaussian filters

Definition at line 49 of file itkGradientRecursiveGaussianImageFilter.h.

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Member Typedef Documentation

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef CommandType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandPointer

Definition at line 119 of file itkGradientRecursiveGaussianImageFilter.h. Referenced by itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter().

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef MemberCommand< Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandType

Command for observing progress of internal pipeline filters Definition at line 118 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef SmartPointer<const Self> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 57 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef DerivativeFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer

Pointer to a derivative filter. Definition at line 106 of file itkGradientRecursiveGaussianImageFilter.h. Referenced by itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter().

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef RecursiveGaussianImageFilter< InputImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterType

Derivative filter type, it will be the first in the pipeline Definition at line 99 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef GaussianFilterType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer

Pointer to a gaussian filter. Definition at line 103 of file itkGradientRecursiveGaussianImageFilter.h. Referenced by itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter().

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef RecursiveGaussianImageFilter< RealImageType, RealImageType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterType

Smoothing filter type Definition at line 93 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef TInputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InputImageType

Pixel Type of the input image Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 61 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef float itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::InternalRealType

Define the image type for internal computations RealType is usually 'double' in NumericTraits. Here we prefer float in order to save memory. Definition at line 74 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef PixelTraits<OutputPixelType>::ValueType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputComponentType

Definition at line 115 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef OutputImageAdaptorType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer

Definition at line 87 of file itkGradientRecursiveGaussianImageFilter.h. Referenced by itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter().

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef NthElementImageAdaptor< TOutputImage, InternalRealType > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorType

Output Image Nth Element Adaptor This adaptor allows to use conventional scalar smoothing filters to compute each one of the components of the gradient image pixels. Definition at line 86 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef TOutputImage::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Pointer to the Output Image Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 109 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef TOutputImage itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType

Type of the output Image Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 113 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef OutputImageType::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType

Definition at line 114 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef TInputImage::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType

Definition at line 62 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef SmartPointer<Self> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 56 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef Image<InternalRealType, itkGetStaticConstMacro(ImageDimension) itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealImageType)

Definition at line 76 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef NumericTraits<PixelType>::RealType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::RealType

Definition at line 63 of file itkGradientRecursiveGaussianImageFilter.h.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef GradientRecursiveGaussianImageFilter itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 54 of file itkGradientRecursiveGaussianImageFilter.h. Referenced by itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter().

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> typedef ImageToImageFilter<TInputImage,TOutputImage> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 55 of file itkGradientRecursiveGaussianImageFilter.h.

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Constructor & Destructor Documentation

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter (   )  [protected]

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> virtual itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::~GradientRecursiveGaussianImageFilter (   )  [inline, protected, virtual]

Definition at line 141 of file itkGradientRecursiveGaussianImageFilter.h. References itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::CommandPointer, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::DerivativeFilterPointer, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GaussianFilterPointer, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer, and itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Self.

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Member Function Documentation

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion (  DataObject *  output  )  [protected, virtual]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region. Reimplemented from itk::ProcessObject.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateData (  void   )  [protected, virtual]

Generate Data Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> virtual void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion (   )  throw (InvalidRequestedRegionError) [virtual]

GradientRecursiveGaussianImageFilter needs all of the input to produce an output. Therefore, GradientRecursiveGaussianImageFilter 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<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> virtual bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNormalizeAcrossScale (   )  [virtual]

Define which normalization factor will be used for the Gaussian

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  ImageDimension  , unsigned  int, TInputImage::ImageDimension  )

Image dimension.

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::New (   )  [static]

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

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< 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<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress (  const Object *  object, const EventObject &  event )  [protected]

Compute progress by weighting the contributions of the internal filters

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetNormalizeAcrossScale (  bool  normalizeInScaleSpace  )

Define which normalization factor will be used for the Gaussian

template<typename TInputImage, typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType>::RealType, ::itk::GetImageDimension<TInputImage>::ImageDimension >, ::itk::GetImageDimension<TInputImage>::ImageDimension >> void itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::SetSigma (  RealType  sigma  )

Set Sigma value. Sigma is measured in the units of image spacing.

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

• itkGradientRecursiveGaussianImageFilter.h

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