itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

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 >:

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
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< Self >	Pointer
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::HasPixelTraits< OutputPixelType >) OutputHasPixelTraitsCheck
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck
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:

• All Examples

• Compute the gradient of an image by convolution with the first derivative of a Gaussian

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

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 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

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 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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 60 of file itkGradientRecursiveGaussianImageFilter.h.

---

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::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 >>

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 >>

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.

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

• itkGradientRecursiveGaussianImageFilter.h