itk::GaussianDerivativeImageFunction< TInputImage, TOutput > Class Template Reference

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>

List of all members.

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

---

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.

---

Member Typedef Documentation

template<class TInputImage, class TOutput = double> typedef SmartPointer<const Self> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer

Definition at line 55 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef ContinuousIndex<TOutput,itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType)

Definition at line 73 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianDerivativeFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionPointer

Definition at line 87 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef GaussianDerivativeSpatialFunction<TOutput,1> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionType

Definition at line 86 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef GaussianFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 90 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef GaussianSpatialFunction<TOutput,1> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 89 of file itkGaussianDerivativeImageFunction.h.

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

Definition at line 66 of file itkGaussianDerivativeImageFunction.h.

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

InputImageType typedef support. Definition at line 64 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetExtent().

template<class TInputImage, class TOutput = double> typedef InputImageType::PixelType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType

Definition at line 65 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Neighborhood<InputPixelType, itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::NeighborhoodType)

Definition at line 76 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef FixedArray<OperatorNeighborhoodType,2*itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorArrayType)

Definition at line 81 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef OperatorImageFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 84 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator=().

template<class TInputImage, class TOutput = double> typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Definition at line 83 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Neighborhood<TOutput, itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorNeighborhoodType)

Definition at line 77 of file itkGaussianDerivativeImageFunction.h.

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

Definition at line 80 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef SmartPointer<Self> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support. Definition at line 54 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Point<TOutput,itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::PointType)

Point typedef support. Definition at line 93 of file itkGaussianDerivativeImageFunction.h.

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

Standard "Self" typedef Definition at line 46 of file itkGaussianDerivativeImageFunction.h. Referenced by itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetExtent(), and itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::~GaussianDerivativeImageFunction().

template<class TInputImage, class TOutput = double> typedef ImageFunction<TInputImage, Vector<TOutput,::itk::GetImageDimension<TInputImage>::ImageDimension>, TOutput > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef Definition at line 51 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> typedef Vector<TOutput,itkGetStaticConstMacro(ImageDimension2) itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::VectorType)

Definition at line 79 of file itkGaussianDerivativeImageFunction.h.

---

Constructor & Destructor Documentation

template<class TInputImage, class TOutput = double> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeImageFunction (   )  [protected]

template<class TInputImage, class TOutput = double> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeImageFunction (  const Self &   )  [inline, protected]

Definition at line 132 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::~GaussianDerivativeImageFunction (   )  [inline, protected]

Definition at line 134 of file itkGaussianDerivativeImageFunction.h. References itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Self.

---

Member Function Documentation

template<class TInputImage, class TOutput = double> virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Evaluate (  const PointType &  point  )  const [virtual]

Evalutate the in the given dimension at specified point

template<class TInputImage, class TOutput = double> virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex (  const ContinuousIndexType &  index  )  const [virtual]

Evaluate the function at specified ContinousIndex position.

template<class TInputImage, class TOutput = double> virtual OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtIndex (  const IndexType &  index  )  const [virtual]

Evaluate the function at specified Index position

template<class TInputImage, class TOutput = double> virtual const char* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetClassName (   )  const [virtual]

Run-time type information (and related methods).

template<class TInputImage, class TOutput = double> const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetExtent (   )  const [inline]

Set the extent of the kernel Definition at line 119 of file itkGaussianDerivativeImageFunction.h. References itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType, and itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Self.

template<class TInputImage, class TOutput = double> const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetSigma (   )  const [inline]

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels. Definition at line 113 of file itkGaussianDerivativeImageFunction.h.

template<class TInputImage, class TOutput = double> itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::itkStaticConstMacro (  ImageDimension2  , unsigned  int, InputImageType::ImageDimension  )

Dimension of the underlying image.

template<class TInputImage, class TOutput = double> Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::New (   )  [static]

Method for creation through the object factory.

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::operator= (  const Self &   )  [inline, protected]

Definition at line 136 of file itkGaussianDerivativeImageFunction.h. References itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionPointer, itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionPointer, itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorArrayType, and itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer.

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel (  const double  offset[ImageDimension2]  )  const [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel (   )  [protected]

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent (  const double  extent  )

Set the extent of the kernel

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent (  const double  extent[ImageDimension2]  )

Set the extent of the kernel

template<class TInputImage, class TOutput = double> virtual void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetInputImage (  const InputImageType *  ptr  )  [virtual]

Set the input image. Warning: this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values.

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma (  const double  sigma  )

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage, class TOutput = double> void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma (  const double  sigma[ImageDimension2]  )

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

---

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

• itkGaussianDerivativeImageFunction.h

---