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

#include <itkGradientMagnitudeRecursiveGaussianImageFilter.h>

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

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

Classes
class	SqrSpacing
Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef CumulativeImageType::Pointer	CumulativeImagePointer
typedef Image < InternalRealType, itkGetStaticConstMacro(ImageDimension) >	CumulativeImageType
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 TOutputImage::Pointer	OutputImagePointer
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef InputImageType::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef Image < InternalRealType, itkGetStaticConstMacro(ImageDimension) >	RealImageType
typedef NumericTraits < PixelType >::RealType	RealType
typedef GradientMagnitudeRecursiveGaussianImageFilter	Self
typedef SqrtFilterType::Pointer	SqrtFilterPointer
typedef SqrtImageFilter < RealImageType, TOutputImage >	SqrtFilterType
typedef InPlaceImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
void	SetNumberOfThreads (ThreadIdType nb)
	typedef (Concept::HasNumericTraits< PixelType >) InputHasNumericTraitsCheck

void	SetSigma (RealType sigma)
RealType	GetSigma ()

void	SetNormalizeAcrossScale (bool normalizeInScaleSpace)
virtual bool	GetNormalizeAcrossScale () const
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)
virtual void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )

	GradientMagnitudeRecursiveGaussianImageFilter ()
virtual	~GradientMagnitudeRecursiveGaussianImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Types
typedef SqrSpacingFilterType::Pointer	SqrSpacingFilterPointer
typedef BinaryFunctorImageFilter < RealImageType, RealImageType, RealImageType, SqrSpacing >	SqrSpacingFilterType
Private Member Functions
	GradientMagnitudeRecursiveGaussianImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
DerivativeFilterPointer	m_DerivativeFilter
bool	m_NormalizeAcrossScale
GaussianFilterPointer	m_SmoothingFilters [ImageDimension-1]
SqrSpacingFilterPointer	m_SqrSpacingFilter
SqrtFilterPointer	m_SqrtFilter

Detailed Description

template<typename TInputImage, typename TOutputImage = TInputImage>
class itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >

Computes the Magnitude of 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

Find the gradient magnitude of the image first smoothed with a Gaussian kernel

Definition at line 50 of file itkGradientMagnitudeRecursiveGaussianImageFilter.h.