ITK  6.0.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions | Private Attributes | List of all members
itk::GaussianBlurImageFunction< TInputImage, TOutput > Class Template Reference

#include <itkGaussianBlurImageFunction.h>

Detailed Description

template<typename TInputImage, typename TOutput = double>
class itk::GaussianBlurImageFunction< TInputImage, TOutput >

Compute the convolution of a neighborhood operator with 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 39 of file itkGaussianBlurImageFunction.h.

+ Inheritance diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:
+ Collaboration diagram for itk::GaussianBlurImageFunction< TInputImage, TOutput >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using ErrorArrayType = itk::FixedArray< double, Self::ImageDimension >
 
using ExtentArrayType = itk::FixedArray< double, Self::ImageDimension >
 
using GaussianFunctionPointer = typename GaussianFunctionType::Pointer
 
using GaussianFunctionType = GaussianSpatialFunction< TOutput, 1 >
 
using GaussianOperatorType = GaussianOperator< TOutput, Self::ImageDimension >
 
using InputImageType = TInputImage
 
using InputPixelRealType = typename NumericTraits< InputPixelType >::RealType
 
using InputPixelType = typename InputImageType::PixelType
 
using InternalImagePointer = typename InternalImageType::Pointer
 
using InternalImageType = itk::Image< InputPixelRealType, Self::ImageDimension >
 
using NeighborhoodType = Neighborhood< TOutput, Self::ImageDimension >
 
using OperatorArrayType = FixedArray< NeighborhoodType, Self::ImageDimension >
 
using OperatorImageFunctionPointer = typename OperatorImageFunctionType::Pointer
 
using OperatorImageFunctionType = NeighborhoodOperatorImageFunction< InputImageType, TOutput >
 
using OperatorInternalImageFunctionPointer = typename OperatorInternalImageFunctionType::Pointer
 
using OperatorInternalImageFunctionType = NeighborhoodOperatorImageFunction< InternalImageType, TOutput >
 
using Pointer = SmartPointer< Self >
 
using Self = GaussianBlurImageFunction
 
using SigmaArrayType = itk::FixedArray< double, Self::ImageDimension >
 
using Superclass = ImageFunction< TInputImage, TOutput >
 
- Public Types inherited from itk::ImageFunction< TInputImage, double >
using ConstPointer = SmartPointer< const Self >
 
using ContinuousIndexType = ContinuousIndex< float, Self::ImageDimension >
 
using CoordRepType = float
 
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 = double
 
using Pointer = SmartPointer< Self >
 
using PointType = Point< float, Self::ImageDimension >
 
using Self = ImageFunction
 
using Superclass = FunctionBase< Point< float, Self::ImageDimension >, double >
 
- Public Types inherited from itk::FunctionBase< Point< float, TInputImage::ImageDimension >, double >
using ConstPointer = SmartPointer< const Self >
 
using InputType = Point< float, TInputImage::ImageDimension >
 
using OutputType = double
 
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

TOutput Evaluate (const PointType &point) const override
 
TOutput EvaluateAtContinuousIndex (const ContinuousIndexType &cindex) const override
 
TOutput EvaluateAtIndex (const IndexType &index) const override
 
const char * GetNameOfClass () const override
 
virtual const SigmaArrayTypeGetSigma () const
 
void SetExtent (const double extent)
 
void SetInputImage (const InputImageType *ptr) override
 
void SetSigma (const double *sigma)
 
void SetSigma (const double sigma)
 
void SetSigma (const float *sigma)
 
virtual void SetSigma (SigmaArrayType _arg)
 
virtual void SetExtent (ExtentArrayType _arg)
 
virtual const ExtentArrayTypeGetExtent () const
 
void SetExtent (const double *extent)
 
virtual void SetMaximumError (ErrorArrayType _arg)
 
virtual const ErrorArrayTypeGetMaximumError () const
 
virtual void SetMaximumKernelWidth (int _arg)
 
virtual int GetMaximumKernelWidth () const
 
virtual void SetUseImageSpacing (bool _arg)
 
virtual bool GetUseImageSpacing () const
 
virtual void UseImageSpacingOn ()
 
- Public Member Functions inherited from itk::ImageFunction< TInputImage, double >
void ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const
 
void ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const
 
OutputType Evaluate (const PointType &point) const override=0
 
virtual double EvaluateAtContinuousIndex (const ContinuousIndexType &index) const=0
 
virtual double EvaluateAtIndex (const IndexType &index) const=0
 
virtual const ContinuousIndexTypeGetEndContinuousIndex () const
 
virtual const IndexTypeGetEndIndex () const
 
const InputImageTypeGetInputImage () const
 
const char * GetNameOfClass () const override
 
virtual const ContinuousIndexTypeGetStartContinuousIndex () const
 
virtual const IndexTypeGetStartIndex () const
 
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
 
void ConvertPointToNearestIndex (const PointType &point, IndexType &index) const
 
virtual OutputType Evaluate (const InputType &input) const=0
 
const char * GetNameOfClass () const override
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *cmd) const
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
LightObject::Pointer CreateAnother () const override
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
const char * GetNameOfClass () const override
 
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) const
 
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 Pointer CreateAnother () const
 
virtual void Delete ()
 
virtual const char * GetNameOfClass () const
 
virtual int GetReferenceCount () const
 
void Print (std::ostream &os, Indent indent=0) const
 
virtual void Register () const
 
virtual void SetReferenceCount (int)
 
virtual void UnRegister () const noexcept
 

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, double >
static constexpr unsigned int ImageDimension
 

Protected Member Functions

 GaussianBlurImageFunction ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void RecomputeContinuousGaussianKernel (const double *offset) const
 
void RecomputeGaussianKernel ()
 
 ~GaussianBlurImageFunction () override=default
 
- Protected Member Functions inherited from itk::ImageFunction< TInputImage, double >
 ImageFunction ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 ~ImageFunction () override=default
 
- Protected Member Functions inherited from itk::FunctionBase< Point< float, TInputImage::ImageDimension >, double >
 FunctionBase ()=default
 
 ~FunctionBase () override=default
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
 ~Object () override
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintSelf (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Private Member Functions

virtual TOutput EvaluateAtIndex (const IndexType &index, const OperatorArrayType &operatorArray) const
 

Private Attributes

OperatorArrayType m_ContinuousOperatorArray {}
 
ExtentArrayType m_Extent {}
 
unsigned int m_FilterDimensionality {}
 
GaussianFunctionPointer m_GaussianFunction {}
 
InternalImagePointer m_InternalImage {}
 
ErrorArrayType m_MaximumError {}
 
int m_MaximumKernelWidth {}
 
OperatorArrayType m_OperatorArray {}
 
OperatorImageFunctionPointer m_OperatorImageFunction {}
 
OperatorInternalImageFunctionPointer m_OperatorInternalImageFunction {}
 
SigmaArrayType m_Sigma {}
 
bool m_UseImageSpacing { true }
 

Additional Inherited Members

- Protected Attributes inherited from itk::ImageFunction< TInputImage, double >
ContinuousIndexType m_EndContinuousIndex
 
IndexType m_EndIndex
 
InputImageConstPointer m_Image
 
ContinuousIndexType m_StartContinuousIndex
 
IndexType m_StartIndex
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount {}
 

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::ConstPointer = SmartPointer<const Self>

Definition at line 52 of file itkGaussianBlurImageFunction.h.

◆ ErrorArrayType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::ErrorArrayType = itk::FixedArray<double, Self::ImageDimension>

Definition at line 85 of file itkGaussianBlurImageFunction.h.

◆ ExtentArrayType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::ExtentArrayType = itk::FixedArray<double, Self::ImageDimension>

Definition at line 86 of file itkGaussianBlurImageFunction.h.

◆ GaussianFunctionPointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer = typename GaussianFunctionType::Pointer

Definition at line 74 of file itkGaussianBlurImageFunction.h.

◆ GaussianFunctionType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionType = GaussianSpatialFunction<TOutput, 1>

Definition at line 73 of file itkGaussianBlurImageFunction.h.

◆ GaussianOperatorType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianOperatorType = GaussianOperator<TOutput, Self::ImageDimension>

Definition at line 69 of file itkGaussianBlurImageFunction.h.

◆ InputImageType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputImageType = TInputImage

InputImageType type alias support

Definition at line 61 of file itkGaussianBlurImageFunction.h.

◆ InputPixelRealType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelRealType = typename NumericTraits<InputPixelType>::RealType

Definition at line 75 of file itkGaussianBlurImageFunction.h.

◆ InputPixelType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelType = typename InputImageType::PixelType

Definition at line 62 of file itkGaussianBlurImageFunction.h.

◆ InternalImagePointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer = typename InternalImageType::Pointer

Definition at line 77 of file itkGaussianBlurImageFunction.h.

◆ InternalImageType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImageType = itk::Image<InputPixelRealType, Self::ImageDimension>

Definition at line 76 of file itkGaussianBlurImageFunction.h.

◆ NeighborhoodType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::NeighborhoodType = Neighborhood<TOutput, Self::ImageDimension>

Definition at line 70 of file itkGaussianBlurImageFunction.h.

◆ OperatorArrayType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType = FixedArray<NeighborhoodType, Self::ImageDimension>

Definition at line 71 of file itkGaussianBlurImageFunction.h.

◆ OperatorImageFunctionPointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer = typename OperatorImageFunctionType::Pointer

Definition at line 80 of file itkGaussianBlurImageFunction.h.

◆ OperatorImageFunctionType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorImageFunctionType = NeighborhoodOperatorImageFunction<InputImageType, TOutput>

Definition at line 79 of file itkGaussianBlurImageFunction.h.

◆ OperatorInternalImageFunctionPointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorInternalImageFunctionPointer = typename OperatorInternalImageFunctionType::Pointer

Definition at line 83 of file itkGaussianBlurImageFunction.h.

◆ OperatorInternalImageFunctionType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorInternalImageFunctionType = NeighborhoodOperatorImageFunction<InternalImageType, TOutput>

Definition at line 82 of file itkGaussianBlurImageFunction.h.

◆ Pointer

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::Pointer = SmartPointer<Self>

Smart pointer type alias support

Definition at line 51 of file itkGaussianBlurImageFunction.h.

◆ Self

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::Self = GaussianBlurImageFunction

Standard "Self" type alias

Definition at line 45 of file itkGaussianBlurImageFunction.h.

◆ SigmaArrayType

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::SigmaArrayType = itk::FixedArray<double, Self::ImageDimension>

Definition at line 87 of file itkGaussianBlurImageFunction.h.

◆ Superclass

template<typename TInputImage , typename TOutput = double>
using itk::GaussianBlurImageFunction< TInputImage, TOutput >::Superclass = ImageFunction<TInputImage, TOutput>

Standard "Superclass" type alias

Definition at line 48 of file itkGaussianBlurImageFunction.h.

Constructor & Destructor Documentation

◆ GaussianBlurImageFunction()

template<typename TInputImage , typename TOutput = double>
itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction ( )
protected

◆ ~GaussianBlurImageFunction()

template<typename TInputImage , typename TOutput = double>
itk::GaussianBlurImageFunction< TInputImage, TOutput >::~GaussianBlurImageFunction ( )
overrideprotecteddefault

Member Function Documentation

◆ Evaluate()

template<typename TInputImage , typename TOutput = double>
TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate ( const PointType point) const
overridevirtual

Evaluate the function in the given dimension at specified point

Implements itk::ImageFunction< TInputImage, double >.

◆ EvaluateAtContinuousIndex()

template<typename TInputImage , typename TOutput = double>
TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex ( const ContinuousIndexType cindex) const
overridevirtual

Evaluate the function at specified ContinuousIndex position.

Implements itk::ImageFunction< TInputImage, double >.

◆ EvaluateAtIndex() [1/2]

template<typename TInputImage , typename TOutput = double>
TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex ( const IndexType index) const
overridevirtual

Evaluate the function at specified Index position

Implements itk::ImageFunction< TInputImage, double >.

◆ EvaluateAtIndex() [2/2]

template<typename TInputImage , typename TOutput = double>
virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex ( const IndexType index,
const OperatorArrayType operatorArray 
) const
privatevirtual

◆ GetExtent()

template<typename TInputImage , typename TOutput = double>
virtual const ExtentArrayType & itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent ( ) const
virtual

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

◆ GetMaximumError()

template<typename TInputImage , typename TOutput = double>
virtual const ErrorArrayType & itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumError ( ) const
virtual

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

◆ GetMaximumKernelWidth()

template<typename TInputImage , typename TOutput = double>
virtual int itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth ( ) const
virtual

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

◆ GetNameOfClass()

template<typename TInputImage , typename TOutput = double>
const char * itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetNameOfClass ( ) const
overridevirtual
See also
LightObject::GetNameOfClass()

Reimplemented from itk::Object.

◆ GetSigma()

template<typename TInputImage , typename TOutput = double>
virtual const SigmaArrayType & itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma ( ) const
virtual

◆ GetUseImageSpacing()

template<typename TInputImage , typename TOutput = double>
virtual bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetUseImageSpacing ( ) const
virtual

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

◆ New()

template<typename TInputImage , typename TOutput = double>
static Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

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.

◆ RecomputeContinuousGaussianKernel()

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel ( const double *  offset) const
protected

◆ RecomputeGaussianKernel()

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel ( )
protected

◆ SetExtent() [1/3]

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent ( const double *  extent)

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

◆ SetExtent() [2/3]

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

◆ SetExtent() [3/3]

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetExtent ( ExtentArrayType  _arg)
virtual

Set/Get the Extent of the array holding the coefficients of the Gaussian kernel computed by the GaussianOperator.

◆ SetInputImage()

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< 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, double >.

◆ SetMaximumError()

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumError ( ErrorArrayType  _arg)
virtual

Set/Get the maximum error acceptable for the approximation of the Gaussian kernel with the GaussianOperator.

◆ SetMaximumKernelWidth()

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetMaximumKernelWidth ( int  _arg)
virtual

Set/GetMaximumKernelWidth() This value is used by the underling GaussianOperator for computing the number of coefficients to be used in the Gaussian kernel

◆ SetSigma() [1/4]

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( const double *  sigma)

The standard deviation for the discrete Gaussian kernel. Sets the standard deviation independently for each dimension. The default is 1.0 in each dimension. If UseImageSpacing is true (default), the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

◆ SetSigma() [2/4]

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

◆ SetSigma() [3/4]

template<typename TInputImage , typename TOutput = double>
void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( const float *  sigma)

◆ SetSigma() [4/4]

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma ( SigmaArrayType  _arg)
virtual

◆ SetUseImageSpacing()

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetUseImageSpacing ( bool  _arg)
virtual

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

◆ UseImageSpacingOn()

template<typename TInputImage , typename TOutput = double>
virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::UseImageSpacingOn ( )
virtual

Set/GetUseImageSpacing() This flag is used by the underling GaussianOperator to decide if the image spacing should be used to scale the value of sigma or not. The methods UseImageSpacingOn() and UseImageSpacingOff() provide a similar functionality.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutput = double>
constexpr unsigned int itk::GaussianBlurImageFunction< TInputImage, TOutput >::ImageDimension = InputImageType::ImageDimension
staticconstexpr

Dimension of the underlying image.

Definition at line 67 of file itkGaussianBlurImageFunction.h.

◆ m_ContinuousOperatorArray

template<typename TInputImage , typename TOutput = double>
OperatorArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_ContinuousOperatorArray {}
mutableprivate

Definition at line 187 of file itkGaussianBlurImageFunction.h.

◆ m_Extent

template<typename TInputImage , typename TOutput = double>
ExtentArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Extent {}
private

Definition at line 194 of file itkGaussianBlurImageFunction.h.

◆ m_FilterDimensionality

template<typename TInputImage , typename TOutput = double>
unsigned int itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_FilterDimensionality {}
private

Number of dimensions to process. Default is all dimensions

Definition at line 201 of file itkGaussianBlurImageFunction.h.

◆ m_GaussianFunction

template<typename TInputImage , typename TOutput = double>
GaussianFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_GaussianFunction {}
private

◆ m_InternalImage

template<typename TInputImage , typename TOutput = double>
InternalImagePointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_InternalImage {}
private

Definition at line 188 of file itkGaussianBlurImageFunction.h.

◆ m_MaximumError

template<typename TInputImage , typename TOutput = double>
ErrorArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_MaximumError {}
private

The maximum error of the gaussian blurring kernel in each dimensional direction. For definition of maximum error, see GaussianOperator.

See also
GaussianOperator

Definition at line 193 of file itkGaussianBlurImageFunction.h.

◆ m_MaximumKernelWidth

template<typename TInputImage , typename TOutput = double>
int itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_MaximumKernelWidth {}
private

Maximum allowed kernel width for any dimension of the discrete Gaussian approximation

Definition at line 198 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorArray

template<typename TInputImage , typename TOutput = double>
OperatorArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorArray {}
mutableprivate

Definition at line 186 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorImageFunction

template<typename TInputImage , typename TOutput = double>
OperatorImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorImageFunction {}
private

Definition at line 184 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorInternalImageFunction

template<typename TInputImage , typename TOutput = double>
OperatorInternalImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorInternalImageFunction {}
private

Definition at line 185 of file itkGaussianBlurImageFunction.h.

◆ m_Sigma

template<typename TInputImage , typename TOutput = double>
SigmaArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Sigma {}
private

Definition at line 183 of file itkGaussianBlurImageFunction.h.

◆ m_UseImageSpacing

template<typename TInputImage , typename TOutput = double>
bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_UseImageSpacing { true }
private

Flag to indicate whether to use image spacing

Definition at line 204 of file itkGaussianBlurImageFunction.h.


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