ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions | Private Attributes
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkGradientRecursiveGaussianImageFilter.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
DerivativeFilterType::Pointer 
DerivativeFilterPointer
typedef
RecursiveGaussianImageFilter
< InputImageType,
RealImageType
DerivativeFilterType
typedef GaussianFilterType::Pointer GaussianFilterPointer
typedef
RecursiveGaussianImageFilter
< RealImageType, RealImageType
GaussianFilterType
typedef TInputImage InputImageType
typedef float InternalRealType
typedef PixelTraits
< OutputPixelType >::ValueType 
OutputComponentType
typedef
OutputImageAdaptorType::Pointer 
OutputImageAdaptorPointer
typedef NthElementImageAdaptor
< TOutputImage,
InternalRealType
OutputImageAdaptorType
typedef TOutputImage::Pointer OutputImagePointer
typedef TOutputImage OutputImageType
typedef OutputImageType::PixelType OutputPixelType
typedef TInputImage::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef Image
< InternalRealType,
itkGetStaticConstMacro(ImageDimension) > 
RealImageType
typedef NumericTraits
< PixelType >::RealType 
RealType
typedef
GradientRecursiveGaussianImageFilter 
Self
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual void GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
virtual const char * GetNameOfClass () const
void SetSigma (RealType sigma)
 typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
 typedef (Concept::HasPixelTraits< OutputPixelType >) OutputHasPixelTraitsCheck
void SetNormalizeAcrossScale (bool normalizeInScaleSpace)
virtual bool GetNormalizeAcrossScale () const
virtual void SetUseImageDirection (bool _arg)
virtual bool GetUseImageDirection () const
virtual void UseImageDirectionOn ()
virtual void UseImageDirectionOff ()

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = TInputImage::ImageDimension

Protected Member Functions

void EnlargeOutputRequestedRegion (DataObject *output)
void GenerateData (void)
 GradientRecursiveGaussianImageFilter ()
virtual ~GradientRecursiveGaussianImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const

Private Member Functions

 GradientRecursiveGaussianImageFilter (const Self &)
void operator= (const Self &)

Private Attributes

DerivativeFilterPointer m_DerivativeFilter
OutputImageAdaptorPointer m_ImageAdaptor
bool m_NormalizeAcrossScale
std::vector
< GaussianFilterPointer
m_SmoothingFilters
bool m_UseImageDirection

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

Wiki Examples:

Definition at line 54 of file itkGradientRecursiveGaussianImageFilter.h.


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 SmartPointer< const Self > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer
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.

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 100 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.

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 94 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 65 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 77 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 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 OutputImageAdaptorType::Pointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::OutputImageAdaptorPointer

Definition at line 88 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 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 112 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 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 TInputImage::PixelType itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::PixelType

Definition at line 66 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
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 79 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 67 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 59 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 ImageToImageFilter< TInputImage, TOutputImage > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::Superclass

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]

End concept checking

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]

End concept checking

Definition at line 167 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 >>
itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GradientRecursiveGaussianImageFilter ( const Self ) [private]

Member Function Documentation

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

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

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 >::EnlargeOutputRequestedRegion ( DataObject ) [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 const char* itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Runtime information support.

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 ( ) const [virtual]

Define which normalization factor will be used for the Gaussian

See also:
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
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 >::GetUseImageDirection ( ) const [virtual]

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
static 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 >::operator= ( const Self ) [private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

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 >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

End concept checking

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 >::SetNormalizeAcrossScale ( bool  normalizeInScaleSpace)

Define which normalization factor will be used for the Gaussian

See also:
RecursiveGaussianImageFilter::SetNormalizeAcrossScale
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.

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 >::SetUseImageDirection ( bool  _arg) [virtual]

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

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 >::typedef ( Concept::HasNumericTraits< PixelType )

Begin concept checking This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< PixelType > )

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 >::typedef ( Concept::HasPixelTraits< OutputPixelType )

This class requires OutputHasPixelTraitsCheck in the form of ( Concept::HasPixelTraits< OutputPixelType > )

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 >::UseImageDirectionOff ( ) [virtual]

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.

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 >::UseImageDirectionOn ( ) [virtual]

The UseImageDirection flag determines whether the gradients are computed with respect to the image grid or with respect to the physical space. When this flag is ON the gradients are computed with respect to the coodinate system of physical space. The difference is whether we take into account the image Direction or not. The flag ON will take into account the image direction and will result in an extra matrix multiplication compared to the amount of computation performed when the flag is OFF. The default value of this flag is On.


Member Data Documentation

template<typename TInputImage , typename TOutputImage = Image< CovariantVector< typename NumericTraits< typename TInputImage::PixelType >::RealType, ::itk::GetImageDimension< TInputImage >::ImageDimension >, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
const unsigned int itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension [static]

Image dimension.

Definition at line 71 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 >>
DerivativeFilterPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_DerivativeFilter [private]

Definition at line 185 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 >>
OutputImageAdaptorPointer itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_ImageAdaptor [private]

Definition at line 186 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 >>
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_NormalizeAcrossScale [private]

Normalize the image across scale space

Definition at line 189 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 >>
std::vector< GaussianFilterPointer > itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_SmoothingFilters [private]

Definition at line 184 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 >>
bool itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageDirection [private]

Take into account image orientation when computing the Gradient

Definition at line 192 of file itkGradientRecursiveGaussianImageFilter.h.


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