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

#include <itkGaussianDerivativeImageFunction.h>

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

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

Public Types
using	ConstPointer = SmartPointer< const Self >
using	ContinuousIndexType = ContinuousIndex< SpacePrecisionType, Self::ImageDimension >
using	GaussianDerivativeSpatialFunctionPointer = typename GaussianDerivativeSpatialFunctionType::Pointer
using	GaussianDerivativeSpatialFunctionType = GaussianDerivativeSpatialFunction< TOutput, 1 >
using	IndexType = typename InputImageType::IndexType
using	InputImageType = TInputImage
using	InputPixelType = typename InputImageType::PixelType
using	NeighborhoodType = Neighborhood< InputPixelType, Self::ImageDimension >
using	OperatorArrayType = FixedArray< OperatorNeighborhoodType, Self::ImageDimension >
using	OperatorNeighborhoodType = Neighborhood< TOutput, Self::ImageDimension >
using	OutputType = typename Superclass::OutputType
using	Pointer = SmartPointer< Self >
using	PointType = typename InputImageType::PointType
using	Self = GaussianDerivativeImageFunction
using	Superclass = ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
using	VectorType = Vector< TOutput, Self::ImageDimension >
Public Types inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
using	ConstPointer = SmartPointer< const Self >
using	ContinuousIndexType = ContinuousIndex< TOutput, Self::ImageDimension >
using	CoordRepType = TOutput
using	IndexType = typename InputImageType::IndexType
using	IndexValueType = typename InputImageType::IndexValueType
using	InputImageConstPointer = typename InputImageType::ConstPointer
using	InputImageType = TInputImage
using	InputPixelType = typename InputImageType::PixelType
using	OutputType = Vector< TOutput, TInputImage::ImageDimension >
using	Pointer = SmartPointer< Self >
using	PointType = Point< TOutput, Self::ImageDimension >
using	Self = ImageFunction
using	Superclass = FunctionBase< Point< TOutput, Self::ImageDimension >, Vector< TOutput, TInputImage::ImageDimension > >
Public Types inherited from itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, Vector< TOutput, TInputImage::ImageDimension > >
using	ConstPointer = SmartPointer< const Self >
using	InputType = Point< TOutput, TInputImage::ImageDimension >
using	OutputType = Vector< TOutput, TInputImage::ImageDimension >
using	Pointer = SmartPointer< Self >
using	Self = FunctionBase
using	Superclass = Object
Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >
using	Pointer = SmartPointer< Self >
using	Self = Object
using	Superclass = LightObject
Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >
using	Pointer = SmartPointer< Self >
using	Self = LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const
OutputType	Evaluate (const PointType &point) const override
OutputType	EvaluateAtContinuousIndex (const ContinuousIndexType &cindex) const override
OutputType	EvaluateAtIndex (const IndexType &index) const override
virtual const char *	GetNameOfClass () const
Public Member Functions inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
Vector< TOutput, TInputImage::ImageDimension >	Evaluate (const PointType &point) const override=0
virtual Vector< TOutput, TInputImage::ImageDimension >	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const=0
const InputImageType *	GetInputImage () const
virtual bool	IsInsideBuffer (const IndexType &index) const
virtual bool	IsInsideBuffer (const ContinuousIndexType &index) const
virtual bool	IsInsideBuffer (const PointType &point) const
void	ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
void	ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
void	ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
virtual const IndexType &	GetStartIndex () const
virtual const IndexType &	GetEndIndex () const
virtual const ContinuousIndexType &	GetStartContinuousIndex () const
virtual const ContinuousIndexType &	GetEndContinuousIndex () const
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary ()
const MetaDataDictionary &	GetMetaDataDictionary () const
virtual ModifiedTimeType	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetReferenceCount (int) override
void	UnRegister () const noexcept override
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)
virtual void	SetObjectName (std::string _arg)
virtual const std::string &	GetObjectName () const
Public Member Functions inherited from itk::LightObject
Pointer	Clone () const
virtual void	Delete ()
virtual int	GetReferenceCount () const
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool val)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()

Static Public Attributes
static constexpr unsigned int	ImageDimension = InputImageType::ImageDimension
Static Public Attributes inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
static constexpr unsigned int	ImageDimension
double	m_Sigma [ImageDimension]
OperatorArrayType	m_OperatorArray
std::vector< Offset< ImageDimension > >	m_ImageNeighborhoodOffsets [ImageDimension]
double	m_Extent [ImageDimension]
bool	m_UseImageSpacing { true }
const GaussianDerivativeSpatialFunctionPointer	m_GaussianDerivativeSpatialFunction
void	SetUseImageSpacing (const bool val)
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
virtual bool	GetUseImageSpacing ()
void	SetSigma (const double *sigma)
void	SetSigma (const double sigma)
const double *	GetSigma () const
void	SetExtent (const double *extent)
void	SetExtent (const double extent)
const double *	GetExtent () const
void	SetInputImage (const InputImageType *ptr) override
	GaussianDerivativeImageFunction ()
	~GaussianDerivativeImageFunction () override=default
void	PrintSelf (std::ostream &os, Indent indent) const override
void	RecomputeGaussianKernel ()

Additional Inherited Members
Protected Member Functions inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
	ImageFunction ()
	~ImageFunction () override=default
void	PrintSelf (std::ostream &os, Indent indent) const override
Protected Member Functions inherited from itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, Vector< TOutput, TInputImage::ImageDimension > >
	FunctionBase ()=default
	~FunctionBase () override=default
Protected Member Functions inherited from itk::Object
	Object ()
	~Object () override
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &timeStamp)
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 ()
Protected Attributes inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >
InputImageConstPointer	m_Image
IndexType	m_StartIndex
IndexType	m_EndIndex
ContinuousIndexType	m_StartContinuousIndex
ContinuousIndexType	m_EndContinuousIndex
Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

template<typename TInputImage, typename 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.

Note

From ITK 5, the Evaluate member functions of this class are concurrent thread safe: It is safe to have multiple simultaneous Evaluate calls on a GaussianDerivativeImageFunction object.

This class is templated over the input image type.

See also

NeighborhoodOperator

ImageFunction

Definition at line 50 of file itkGaussianDerivativeImageFunction.h.

Member Typedef Documentation

ConstPointer

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer = SmartPointer<const Self>

Definition at line 60 of file itkGaussianDerivativeImageFunction.h.

ContinuousIndexType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType = ContinuousIndex<SpacePrecisionType, Self::ImageDimension>

Definition at line 80 of file itkGaussianDerivativeImageFunction.h.

GaussianDerivativeSpatialFunctionPointer

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeSpatialFunctionPointer = typename GaussianDerivativeSpatialFunctionType::Pointer

Definition at line 90 of file itkGaussianDerivativeImageFunction.h.

GaussianDerivativeSpatialFunctionType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeSpatialFunctionType = GaussianDerivativeSpatialFunction<TOutput, 1>

Definition at line 89 of file itkGaussianDerivativeImageFunction.h.

IndexType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::IndexType = typename InputImageType::IndexType

Definition at line 71 of file itkGaussianDerivativeImageFunction.h.

InputImageType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType = TInputImage

InputImageType type alias support

Definition at line 69 of file itkGaussianDerivativeImageFunction.h.

InputPixelType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType = typename InputImageType::PixelType

Definition at line 70 of file itkGaussianDerivativeImageFunction.h.

NeighborhoodType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::NeighborhoodType = Neighborhood<InputPixelType, Self::ImageDimension>

Definition at line 82 of file itkGaussianDerivativeImageFunction.h.

OperatorArrayType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorArrayType = FixedArray<OperatorNeighborhoodType, Self::ImageDimension>

Definition at line 87 of file itkGaussianDerivativeImageFunction.h.

OperatorNeighborhoodType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorNeighborhoodType = Neighborhood<TOutput, Self::ImageDimension>

Definition at line 83 of file itkGaussianDerivativeImageFunction.h.

OutputType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OutputType = typename Superclass::OutputType

Definition at line 86 of file itkGaussianDerivativeImageFunction.h.

Pointer

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer = SmartPointer<Self>

Definition at line 59 of file itkGaussianDerivativeImageFunction.h.

PointType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::PointType = typename InputImageType::PointType

Point type alias support

Definition at line 99 of file itkGaussianDerivativeImageFunction.h.

Self

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Self = GaussianDerivativeImageFunction

Standard class type aliases.

Definition at line 57 of file itkGaussianDerivativeImageFunction.h.

Superclass

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass = ImageFunction<TInputImage, Vector<TOutput, TInputImage::ImageDimension>, TOutput>

Definition at line 58 of file itkGaussianDerivativeImageFunction.h.

VectorType

template<typename TInputImage , typename TOutput = double>

using itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::VectorType = Vector<TOutput, Self::ImageDimension>

Definition at line 85 of file itkGaussianDerivativeImageFunction.h.

Constructor & Destructor Documentation

GaussianDerivativeImageFunction()

template<typename TInputImage , typename TOutput = double>

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

protected

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

~GaussianDerivativeImageFunction()

template<typename TInputImage , typename TOutput = double>

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

overrideprotecteddefault

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Member Function Documentation

CreateAnother()

template<typename TInputImage , typename TOutput = double>

virtual::itk::LightObject::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::CreateAnother ( ) 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.

Evaluate()

template<typename TInputImage , typename TOutput = double>

OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Evaluate ( const PointType &  point ) const

override

Evaluate the function at the specified point.

EvaluateAtContinuousIndex()

template<typename TInputImage , typename TOutput = double>

OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex ( const ContinuousIndexType &  cindex ) const

override

Evaluate the function at specified ContinuousIndex position.

EvaluateAtIndex()

template<typename TInputImage , typename TOutput = double>

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

overridevirtual

Evaluate the function at specified Index position.

Implements itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >.

GetExtent()

template<typename TInputImage , typename TOutput = double>

const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetExtent ( ) const

inline

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 155 of file itkGaussianDerivativeImageFunction.h.

GetNameOfClass()

template<typename TInputImage , typename TOutput = double>

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

virtual

Run-time type information (and related methods).

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

GetSigma()

template<typename TInputImage , typename TOutput = double>

const double* itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GetSigma ( ) const

inline

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 142 of file itkGaussianDerivativeImageFunction.h.

GetUseImageSpacing()

template<typename TInputImage , typename TOutput = double>

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

virtual

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

New()

template<typename TInputImage , typename TOutput = double>

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

static

Method for creation through the object factory.

PrintSelf()

template<typename TInputImage , typename TOutput = double>

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

overrideprotectedvirtual

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Reimplemented from itk::Object.

RecomputeGaussianKernel()

template<typename TInputImage , typename TOutput = double>

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

protected

Recompute the Gaussian kernel used to evaluate indexes. This should use a fastest Derivative Gaussian operator.

SetExtent() [1/2]

template<typename TInputImage , typename TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent

(

const double *

extent

)

Set the extent of the discrete Gaussian kernel.

SetExtent() [2/2]

template<typename TInputImage , typename TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent

(

const double

extent

)

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

SetInputImage()

template<typename TInputImage , typename TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetInputImage ( const InputImageType *  ptr )

overridevirtual

Set the input image.

Warning

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

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

SetSigma() [1/2]

template<typename TInputImage , typename 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. The extent of the kernel is controlled by UseImageSpacing.

SetSigma() [2/2]

template<typename TInputImage , typename TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma

(

const double

sigma

)

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

SetUseImageSpacing()

template<typename TInputImage , typename TOutput = double>

void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetUseImageSpacing ( const bool  val )

inline

UseImageSpacing controls the extent of the computations. Set UseImageSpacing to true to set the units to physical units of the image. Set UseImageSpacing to false to set the units of pixels.

Definition at line 118 of file itkGaussianDerivativeImageFunction.h.

UseImageSpacingOff()

template<typename TInputImage , typename TOutput = double>

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

virtual

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

UseImageSpacingOn()

template<typename TInputImage , typename TOutput = double>

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

virtual

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Member Data Documentation

ImageDimension

template<typename TInputImage , typename TOutput = double>

constexpr unsigned int itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ImageDimension = InputImageType::ImageDimension

staticconstexpr

Dimension of the underlying image.

Definition at line 74 of file itkGaussianDerivativeImageFunction.h.

m_Extent

template<typename TInputImage , typename TOutput = double>

double itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_Extent[ImageDimension]

private

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 189 of file itkGaussianDerivativeImageFunction.h.

m_GaussianDerivativeSpatialFunction

template<typename TInputImage , typename TOutput = double>

const GaussianDerivativeSpatialFunctionPointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_GaussianDerivativeSpatialFunction

private

Initial value:

{
    GaussianDerivativeSpatialFunctionType::New()
  }

Neighborhood Image Function.

Definition at line 195 of file itkGaussianDerivativeImageFunction.h.

m_ImageNeighborhoodOffsets

template<typename TInputImage , typename TOutput = double>

std::vector<Offset<ImageDimension> > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_ImageNeighborhoodOffsets[ImageDimension]

private

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 187 of file itkGaussianDerivativeImageFunction.h.

m_OperatorArray

template<typename TInputImage , typename TOutput = double>

OperatorArrayType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_OperatorArray

private

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 185 of file itkGaussianDerivativeImageFunction.h.

m_Sigma

template<typename TInputImage , typename TOutput = double>

double itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_Sigma[ImageDimension]

private

Array of 1D operators. Contains a derivative kernel for each dimension. Note: A future version of ITK could extend this array to include a Gaussian blurring kernel for each dimension.

Definition at line 180 of file itkGaussianDerivativeImageFunction.h.

m_UseImageSpacing

template<typename TInputImage , typename TOutput = double>

bool itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::m_UseImageSpacing { true }

private

Flag to indicate whether to use image spacing.

Definition at line 192 of file itkGaussianDerivativeImageFunction.h.

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

• itkGaussianDerivativeImageFunction.h