Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type. More...

#include <itkGaussianDerivativeImageFunction.h>

Inheritance diagram for itk::GaussianDerivativeImageFunction< TInputImage, TOutput >:

Collaboration diagram for itk::GaussianDerivativeImageFunction< TInputImage, TOutput >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ContinuousIndex < TOutput, itkGetStaticConstMacro(ImageDimension2) >	ContinuousIndexType
typedef GaussianDerivativeFunctionType::Pointer	GaussianDerivativeFunctionPointer
typedef GaussianDerivativeSpatialFunction < TOutput, 1 >	GaussianDerivativeFunctionType
typedef GaussianFunctionType::Pointer	GaussianFunctionPointer
typedef GaussianSpatialFunction < TOutput, 1 >	GaussianFunctionType
typedef InputImageType::IndexType	IndexType
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef Neighborhood < InputPixelType, itkGetStaticConstMacro(ImageDimension2) >	NeighborhoodType
typedef FixedArray < OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2) >	OperatorArrayType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction < InputImageType, TOutput >	OperatorImageFunctionType
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) >	OperatorNeighborhoodType
typedef Superclass::OutputType	OutputType
typedef SmartPointer< Self >	Pointer
typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension2) >	PointType
typedef GaussianDerivativeImageFunction	Self
typedef ImageFunction < TInputImage, Vector< TOutput,::itk::GetImageDimension < TInputImage > ::ImageDimension >, TOutput >	Superclass
typedef Vector< TOutput, itkGetStaticConstMacro(ImageDimension2) >	VectorType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual OutputType	Evaluate (const PointType &point) const
virtual OutputType	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual OutputType	EvaluateAtIndex (const IndexType &index) const
const double *	GetExtent () const
virtual const char *	GetNameOfClass () const
const double *	GetSigma () const
void	SetExtent (const double *extent)
void	SetExtent (const double extent)
virtual void	SetInputImage (const InputImageType *ptr)
void	SetSigma (const double sigma)
void	SetSigma (const double *sigma)
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension2 = InputImageType::ImageDimension
Protected Member Functions
	GaussianDerivativeImageFunction ()
	GaussianDerivativeImageFunction (const Self &)
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
void	RecomputeContinuousGaussianKernel (const double *offset) const
void	RecomputeGaussianKernel ()
	~GaussianDerivativeImageFunction ()
Private Attributes
OperatorArrayType	m_ContinuousOperatorArray
double	m_Extent [ImageDimension2]
GaussianDerivativeFunctionPointer	m_GaussianDerivativeFunction
GaussianFunctionPointer	m_GaussianFunction
OperatorArrayType	m_OperatorArray
OperatorImageFunctionPointer	m_OperatorImageFunction
double	m_Sigma [ImageDimension2]
bool	m_UseImageSpacing

Detailed Description

template<class TInputImage, class TOutput = double>
class itk::GaussianDerivativeImageFunction< TInputImage, TOutput >

Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.

See also:: NeighborhoodOperator; ImageFunction

Definition at line 38 of file itkGaussianDerivativeImageFunction.h.