ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
itk::GaussianBlurImageFunction< TInputImage, TOutput > Class Template Reference

#include <itkGaussianBlurImageFunction.h>

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

Public Types

using ConstPointer = SmartPointer< const Self >
 
using ContinuousIndexType = typename Superclass::ContinuousIndexType
 
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 IndexType = typename Superclass::IndexType
 
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 PointType = typename Superclass::PointType
 
using Self = GaussianBlurImageFunction
 
using SigmaArrayType = itk::FixedArray< double, Self::ImageDimension >
 
using Superclass = ImageFunction< TInputImage, TOutput >
 
- Public Types inherited from itk::ImageFunction< TInputImage, TOutput >
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 = TOutput
 
using Pointer = SmartPointer< Self >
 
using PointType = Point< float, Self::ImageDimension >
 
using Self = ImageFunction
 
using Superclass = FunctionBase< Point< float, Self::ImageDimension >, TOutput >
 
- Public Types inherited from itk::FunctionBase< Point< float, TInputImage::ImageDimension >, TOutput >
using ConstPointer = SmartPointer< const Self >
 
using InputType = Point< float, TInputImage::ImageDimension >
 
using OutputType = TOutput
 
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
 
TOutput Evaluate (const PointType &point) const override
 
TOutput EvaluateAtContinuousIndex (const ContinuousIndexType &index) const override
 
TOutput EvaluateAtIndex (const IndexType &index) const override
 
virtual const char * GetNameOfClass () const
 
virtual const SigmaArrayTypeGetSigma () const
 
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)
 
- Public Member Functions inherited from itk::ImageFunction< TInputImage, TOutput >
TOutput Evaluate (const PointType &point) const override=0
 
virtual TOutput EvaluateAtContinuousIndex (const ContinuousIndexType &index) const=0
 
virtual TOutput EvaluateAtIndex (const IndexType &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, TOutput >
static constexpr unsigned int ImageDimension
 
SigmaArrayType m_Sigma
 
OperatorImageFunctionPointer m_OperatorImageFunction
 
OperatorInternalImageFunctionPointer m_OperatorInternalImageFunction
 
OperatorArrayType m_OperatorArray
 
OperatorArrayType m_ContinuousOperatorArray
 
InternalImagePointer m_InternalImage
 
ErrorArrayType m_MaximumError
 
ExtentArrayType m_Extent
 
int m_MaximumKernelWidth
 
unsigned int m_FilterDimensionality
 
bool m_UseImageSpacing
 
GaussianFunctionPointer m_GaussianFunction
 
virtual void SetExtent (ExtentArrayType _arg)
 
virtual const ExtentArrayTypeGetExtent () const
 
void SetExtent (const double *extent)
 
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 ()
 
virtual void UseImageSpacingOff ()
 
 GaussianBlurImageFunction ()
 
 ~GaussianBlurImageFunction () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void RecomputeGaussianKernel ()
 
void RecomputeContinuousGaussianKernel (const double *offset) const
 
virtual TOutput EvaluateAtIndex (const IndexType &index, const OperatorArrayType &operatorArray) const
 

Additional Inherited Members

- Protected Member Functions inherited from itk::ImageFunction< TInputImage, TOutput >
 ImageFunction ()
 
 ~ImageFunction () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
- Protected Member Functions inherited from itk::FunctionBase< Point< float, TInputImage::ImageDimension >, TOutput >
 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, 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::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
ITK Sphinx Examples:
Examples
Examples/Filtering/GaussianBlurImageFunction.cxx.

Definition at line 42 of file itkGaussianBlurImageFunction.h.

Member Typedef Documentation

◆ ConstPointer

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

Definition at line 55 of file itkGaussianBlurImageFunction.h.

◆ ContinuousIndexType

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

Definition at line 67 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 88 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 89 of file itkGaussianBlurImageFunction.h.

◆ GaussianFunctionPointer

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

Definition at line 77 of file itkGaussianBlurImageFunction.h.

◆ GaussianFunctionType

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

Definition at line 76 of file itkGaussianBlurImageFunction.h.

◆ GaussianOperatorType

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

Definition at line 72 of file itkGaussianBlurImageFunction.h.

◆ IndexType

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

Definition at line 66 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 64 of file itkGaussianBlurImageFunction.h.

◆ InputPixelRealType

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

Definition at line 78 of file itkGaussianBlurImageFunction.h.

◆ InputPixelType

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

Definition at line 65 of file itkGaussianBlurImageFunction.h.

◆ InternalImagePointer

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

Definition at line 80 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 79 of file itkGaussianBlurImageFunction.h.

◆ NeighborhoodType

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

Definition at line 73 of file itkGaussianBlurImageFunction.h.

◆ OperatorArrayType

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

Definition at line 74 of file itkGaussianBlurImageFunction.h.

◆ OperatorImageFunctionPointer

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

Definition at line 83 of file itkGaussianBlurImageFunction.h.

◆ OperatorImageFunctionType

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

Definition at line 82 of file itkGaussianBlurImageFunction.h.

◆ OperatorInternalImageFunctionPointer

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

Definition at line 86 of file itkGaussianBlurImageFunction.h.

◆ OperatorInternalImageFunctionType

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

Definition at line 85 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 54 of file itkGaussianBlurImageFunction.h.

◆ PointType

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

Point type alias support

Definition at line 93 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 48 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 90 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 51 of file itkGaussianBlurImageFunction.h.

Constructor & Destructor Documentation

◆ GaussianBlurImageFunction()

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

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

See also
GaussianOperator

◆ ~GaussianBlurImageFunction()

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

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

See also
GaussianOperator

Member Function Documentation

◆ CreateAnother()

template<typename TInputImage , typename TOutput = double>
virtual::itk::LightObject::Pointer itk::GaussianBlurImageFunction< 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>
TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate ( const PointType point) const
override

Evalutate the in the given dimension at specified point

◆ EvaluateAtContinuousIndex()

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

Evaluate the function at specified ContinuousIndex position.

◆ EvaluateAtIndex() [1/2]

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

Evaluate the function at specified Index position

◆ EvaluateAtIndex() [2/2]

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

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

See also
GaussianOperator

◆ GetExtent()

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

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

See also
GaussianOperator

◆ GetMaximumError()

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

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

See also
GaussianOperator

◆ GetMaximumKernelWidth()

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

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

See also
GaussianOperator

◆ GetNameOfClass()

template<typename TInputImage , typename TOutput = double>
virtual const char* itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

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

◆ 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

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

See also
GaussianOperator

◆ 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

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

See also
GaussianOperator

Reimplemented from itk::Object.

◆ RecomputeContinuousGaussianKernel()

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

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

See also
GaussianOperator

◆ RecomputeGaussianKernel()

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

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

See also
GaussianOperator

◆ SetExtent() [1/3]

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

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

See also
GaussianOperator

◆ SetExtent() [2/3]

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

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

See also
GaussianOperator

◆ 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, TOutput >.

◆ 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.

◆ UseImageSpacingOff()

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

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

See also
GaussianOperator

◆ UseImageSpacingOn()

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

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

See also
GaussianOperator

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 70 of file itkGaussianBlurImageFunction.h.

◆ m_ContinuousOperatorArray

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

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 190 of file itkGaussianBlurImageFunction.h.

◆ m_Extent

template<typename TInputImage , typename TOutput = double>
ExtentArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Extent
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 197 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 204 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

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 191 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 196 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 201 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorArray

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

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 189 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorImageFunction

template<typename TInputImage , typename TOutput = double>
OperatorImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorImageFunction
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 187 of file itkGaussianBlurImageFunction.h.

◆ m_OperatorInternalImageFunction

template<typename TInputImage , typename TOutput = double>
OperatorInternalImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorInternalImageFunction
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 188 of file itkGaussianBlurImageFunction.h.

◆ m_Sigma

template<typename TInputImage , typename TOutput = double>
SigmaArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Sigma
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 186 of file itkGaussianBlurImageFunction.h.

◆ m_UseImageSpacing

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

Flag to indicate whether to use image spacing

Definition at line 207 of file itkGaussianBlurImageFunction.h.


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