ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
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 &index) 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 InputImageTypeGetInputImage () 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 IndexTypeGetStartIndex () const
 
virtual const IndexTypeGetEndIndex () const
 
virtual const ContinuousIndexTypeGetStartContinuousIndex () const
 
virtual const ContinuousIndexTypeGetEndContinuousIndex () 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
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
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 flag)
 
- 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 &time)
 
- 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 index) 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

◆ 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

◆ 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.


The documentation for this class was generated from the following file:
itk::GaussianDerivativeSpatialFunction::New
static Pointer New()