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

#include <itkDiscreteHessianGaussianImageFunction.h>

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

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

Detailed Description

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

Compute the Hessian Gaussian of an image at a specific location in space by calculating discrete second-order gaussian derivatives. This class is templated over the input image type.

The Initialize() method must be called after setting the parameters and before evaluating the function.

Author

Ivan Macia, VICOMTech, Spain, http://www.vicomtech.es

This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/1290

See Also

NeighborhoodOperator

ImageFunction

Definition at line 46 of file itkDiscreteHessianGaussianImageFunction.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ContinuousIndexType	ContinuousIndexType
typedef FixedArray < GaussianDerivativeOperatorType, 3 *itkGetStaticConstMacro(ImageDimension2) >	GaussianDerivativeOperatorArrayType
typedef itk::GaussianDerivativeOperator < TOutput, itkGetStaticConstMacro(ImageDimension2) >	GaussianDerivativeOperatorType
typedef Superclass::IndexType	IndexType
typedef Superclass::IndexValueType	IndexValueType
typedef Superclass::InputImageType	InputImageType
typedef Superclass::InputPixelType	InputPixelType
enum	InterpolationModeType {   NearestNeighbourInterpolation,   LinearInterpolation }
typedef FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2)*(itkGetStaticConstMacro(ImageDimension2)+1)/2 >	KernelArrayType
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) >	KernelType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction < InputImageType, TOutput >	OperatorImageFunctionType
typedef Superclass::OutputType	OutputType
typedef SmartPointer< Self >	Pointer
typedef Superclass::PointType	PointType
typedef DiscreteHessianGaussianImageFunction	Self
typedef ImageFunction < TInputImage, SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension > , TOutput >	Superclass
typedef SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	TensorType
typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension2) >	VarianceArrayType
Public Types inherited from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >
typedef SmartPointer< const Self >	ConstPointer
typedef ContinuousIndex < TOutput, itkGetStaticConstMacro(ImageDimension) >	ContinuousIndexType
typedef TOutput	CoordRepType
typedef InputImageType::IndexType	IndexType
typedef InputImageType::IndexValueType	IndexValueType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	OutputType
typedef SmartPointer< Self >	Pointer
typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension) >	PointType
typedef ImageFunction	Self
typedef FunctionBase< Point < TOutput, itkGetStaticConstMacro(ImageDimension) > , SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension > >	Superclass
Public Types inherited from itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension > >
typedef SmartPointer< const Self >	ConstPointer
typedef Point< TOutput, TInputImage::ImageDimension >	InputType
typedef SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	OutputType
typedef SmartPointer< Self >	Pointer
typedef FunctionBase	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

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
virtual const char *	GetNameOfClass () const
virtual void	Initialize ()
virtual void	SetInputImage (const InputImageType *ptr)
void	SetSigma (const double sigma)
virtual void	SetVariance (VarianceArrayType _arg)
virtual const VarianceArrayType	GetVariance () const
virtual void	SetVariance (double data[])
virtual void	SetVariance (double variance)
virtual void	SetMaximumError (double _arg)
virtual double	GetMaximumError () const
virtual void	SetNormalizeAcrossScale (bool _arg)
virtual bool	GetNormalizeAcrossScale () const
virtual void	NormalizeAcrossScaleOn ()
virtual void	NormalizeAcrossScaleOff ()
virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing () const
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
virtual void	SetMaximumKernelWidth (unsigned int _arg)
virtual unsigned int	GetMaximumKernelWidth () const
virtual void	SetInterpolationMode (InterpolationModeType _arg)
virtual InterpolationModeType	GetInterpolationMode () const
Public Member Functions inherited from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >
void	ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
void	ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
void	ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
virtual SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	Evaluate (const PointType &point) const =0
virtual SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const =0
virtual SymmetricSecondRankTensor < TOutput, TInputImage::ImageDimension >	EvaluateAtIndex (const IndexType &index) const =0
virtual const ContinuousIndexType &	GetEndContinuousIndex ()
virtual const IndexType &	GetEndIndex ()
const InputImageType *	GetInputImage () const
virtual const ContinuousIndexType &	GetStartContinuousIndex ()
virtual const IndexType &	GetStartIndex ()
virtual void	SetInputImage (const InputImageType *ptr)
virtual bool	IsInsideBuffer (const IndexType &index) const
virtual bool	IsInsideBuffer (const ContinuousIndexType &index) const
virtual bool	IsInsideBuffer (const PointType &point) const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ImageDimension2 = InputImageType::ImageDimension
Static Public Attributes inherited from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >
static const unsigned int	ImageDimension

Protected Member Functions
	DiscreteHessianGaussianImageFunction ()
	DiscreteHessianGaussianImageFunction (const Self &)
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
void	RecomputeGaussianKernel ()
	~DiscreteHessianGaussianImageFunction ()
Protected Member Functions inherited from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >
	ImageFunction ()
void	PrintSelf (std::ostream &os, Indent indent) const
	~ImageFunction ()
Protected Member Functions inherited from itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension > >
	FunctionBase ()
	~FunctionBase ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Attributes
InterpolationModeType	m_InterpolationMode
KernelArrayType	m_KernelArray
double	m_MaximumError
unsigned int	m_MaximumKernelWidth
bool	m_NormalizeAcrossScale
GaussianDerivativeOperatorArrayType	m_OperatorArray
OperatorImageFunctionPointer	m_OperatorImageFunction
bool	m_UseImageSpacing
VarianceArrayType	m_Variance

Additional Inherited Members
Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType
Protected Attributes inherited from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >
ContinuousIndexType	m_EndContinuousIndex
IndexType	m_EndIndex
InputImageConstPointer	m_Image
ContinuousIndexType	m_StartContinuousIndex
IndexType	m_StartIndex

Member Typedef Documentation

template<class TInputImage , class TOutput = double>

typedef SmartPointer< const Self > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ConstPointer

Definition at line 63 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::ContinuousIndexType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ContinuousIndexType

Definition at line 76 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef FixedArray< GaussianDerivativeOperatorType, 3 *itkGetStaticConstMacro(ImageDimension2) > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorArrayType

Array to store gaussian derivative operators from zero to second order (3*ImageDimension operators)

Definition at line 98 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef itk::GaussianDerivativeOperator< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorType

Definition at line 93 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::IndexType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::IndexType

Definition at line 74 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::IndexValueType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::IndexValueType

Definition at line 75 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::InputImageType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::InputImageType

Image dependent types

Definition at line 69 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::InputPixelType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::InputPixelType

Definition at line 73 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2) * ( itkGetStaticConstMacro(ImageDimension2) + 1 ) / 2 > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::KernelArrayType

Array to store precomputed N-dimensional kernels for the hessian components

Definition at line 105 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::KernelType

Definition at line 100 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef OperatorImageFunctionType::Pointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer

Definition at line 111 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef NeighborhoodOperatorImageFunction< InputImageType, TOutput > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionType

Image function that performs convolution with the neighborhood operator

Definition at line 110 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::OutputType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OutputType

Definition at line 87 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef SmartPointer< Self > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Pointer

Smart pointer typedef support

Definition at line 62 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Superclass::PointType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::PointType

Definition at line 77 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef DiscreteHessianGaussianImageFunction itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Self

Standard "Self" typedef

Definition at line 54 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef

Definition at line 59 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::TensorType

Output type

Definition at line 86 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension2) > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::VarianceArrayType

Definition at line 89 of file itkDiscreteHessianGaussianImageFunction.h.

Member Enumeration Documentation

template<class TInputImage , class TOutput = double>

enum itk::DiscreteHessianGaussianImageFunction::InterpolationModeType

Interpolation modes

Enumerator:

NearestNeighbourInterpolation
LinearInterpolation

Definition at line 114 of file itkDiscreteHessianGaussianImageFunction.h.

Constructor & Destructor Documentation

template<class TInputImage , class TOutput = double>

itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::DiscreteHessianGaussianImageFunction ( )

protected

template<class TInputImage , class TOutput = double>

itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::DiscreteHessianGaussianImageFunction ( const Self &  )

inlineprotected

Definition at line 201 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::~DiscreteHessianGaussianImageFunction ( )

inlineprotected

Definition at line 203 of file itkDiscreteHessianGaussianImageFunction.h.

Member Function Documentation

template<class TInputImage , class TOutput = double>

virtual::itk::LightObject::Pointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::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<class TInputImage , class TOutput = double>

virtual OutputType itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex ( const ContinuousIndexType &  index ) const

virtual

Evaluate the function at specified ContinousIndex position

template<class TInputImage , class TOutput = double>

virtual OutputType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::EvaluateAtIndex ( const IndexType &  index ) const

virtual

Evaluate the function at specified Index position

template<class TInputImage , class TOutput = double>

virtual InterpolationModeType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetInterpolationMode ( ) const

virtual

Set/Get the interpolation mode.

template<class TInputImage , class TOutput = double>

virtual double itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetMaximumError ( ) const

virtual

Set/Get the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value is clamped between 0.00001 and 0.99999.

template<class TInputImage , class TOutput = double>

virtual unsigned int itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth ( ) const

virtual

Set/Get a limit for growth of the kernel. Small maximum error values with large variances will yield very large kernel sizes. This value can be used to truncate a kernel in such instances. A warning will be given on truncation of the kernel.

template<class TInputImage , class TOutput = double>

virtual const char* itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods)

Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput, TInputImage::ImageDimension >, TOutput >.

template<class TInputImage , class TOutput = double>

virtual bool itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetNormalizeAcrossScale ( ) const

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutput = double>

virtual bool itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetUseImageSpacing ( ) const

virtual

Set/Get the flag for using image spacing when calculating derivatives.

template<class TInputImage , class TOutput = double>

virtual const VarianceArrayType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetVariance ( ) const

virtual

Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Initialize ( void  )

inlinevirtual

Initialize the Gaussian kernel. Call this method before evaluating the function. This method MUST be called after any changes to function parameters.

Definition at line 196 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

static Pointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::New ( )

static

Method for creation through the object factory

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOff ( )

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOn ( )

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutput = double>

void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::operator= ( const Self &  )

inlineprotected

Definition at line 205 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

template<class TInputImage , class TOutput = double>

void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel ( )

protected

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< 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>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetInterpolationMode ( InterpolationModeType  _arg )

virtual

Set/Get the interpolation mode.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetMaximumError ( double  _arg )

virtual

Set/Get the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value is clamped between 0.00001 and 0.99999.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetMaximumKernelWidth ( unsigned int  _arg )

virtual

Set/Get a limit for growth of the kernel. Small maximum error values with large variances will yield very large kernel sizes. This value can be used to truncate a kernel in such instances. A warning will be given on truncation of the kernel.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetNormalizeAcrossScale ( bool  _arg )

virtual

Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.

template<class TInputImage , class TOutput = double>

void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetSigma ( const double  sigma )

inline

Convenience method for setting the variance through the standard deviation

Definition at line 147 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetUseImageSpacing ( bool  _arg )

virtual

Set/Get the flag for using image spacing when calculating derivatives.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetVariance ( VarianceArrayType  _arg )

virtual

Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetVariance ( double  data[] )

virtual

Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetVariance ( double  variance )

inlinevirtual

Convenience method for setting the variance for all dimensions

Definition at line 138 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOff ( )

virtual

Set/Get the flag for using image spacing when calculating derivatives.

template<class TInputImage , class TOutput = double>

virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOn ( )

virtual

Set/Get the flag for using image spacing when calculating derivatives.

Member Data Documentation

template<class TInputImage , class TOutput = double>

const unsigned int itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ImageDimension2 = InputImageType::ImageDimension

static

Dimension of the underlying image

Definition at line 81 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

InterpolationModeType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_InterpolationMode

private

Interpolation mode

Definition at line 245 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

KernelArrayType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_KernelArray

private

Array of N-dimensional kernels which are the result of convolving the operators for calculating hessian matrix derivatives

Definition at line 233 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

double itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_MaximumError

private

Difference between the areas under the curves of the continuous and discrete Gaussian functions

Definition at line 217 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

unsigned int itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_MaximumKernelWidth

private

Maximum kernel size allowed. This value is used to truncate a kernel that has grown too large. A warning is given when the specified maximum error causes the kernel to exceed this size

Definition at line 222 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

bool itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_NormalizeAcrossScale

private

Flag for scale-space normalization of derivatives

Definition at line 239 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

GaussianDerivativeOperatorArrayType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_OperatorArray

mutableprivate

Array of derivative operators, one for each dimension and order. First N zero-order operators are stored, then N first-order and then N second-order making 3*N operators altogether where N=ImageDimension.

Definition at line 228 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorImageFunctionPointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_OperatorImageFunction

private

OperatorImageFunction

Definition at line 236 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

bool itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_UseImageSpacing

private

Flag to indicate whether to use image spacing

Definition at line 242 of file itkDiscreteHessianGaussianImageFunction.h.

template<class TInputImage , class TOutput = double>

VarianceArrayType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::m_Variance

private

Desired variance of the discrete Gaussian function

Definition at line 213 of file itkDiscreteHessianGaussianImageFunction.h.

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

• itkDiscreteHessianGaussianImageFunction.h