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

#include <itkGaussianBlurImageFunction.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ContinuousIndexType	ContinuousIndexType
typedef itk::FixedArray < double, itkGetStaticConstMacro(ImageDimension) >	ErrorArrayType
typedef itk::FixedArray < double, itkGetStaticConstMacro(ImageDimension) >	ExtentArrayType
typedef GaussianFunctionType::Pointer	GaussianFunctionPointer
typedef GaussianSpatialFunction < TOutput, 1 >	GaussianFunctionType
typedef GaussianOperator < TOutput, itkGetStaticConstMacro(ImageDimension) >	GaussianOperatorType
typedef Superclass::IndexType	IndexType
typedef TInputImage	InputImageType
typedef NumericTraits < InputPixelType >::RealType	InputPixelRealType
typedef InputImageType::PixelType	InputPixelType
typedef InternalImageType::Pointer	InternalImagePointer
typedef itk::Image < InputPixelRealType, itkGetStaticConstMacro(ImageDimension) >	InternalImageType
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension) >	NeighborhoodType
typedef FixedArray < NeighborhoodType, itkGetStaticConstMacro(ImageDimension) >	OperatorArrayType
typedef OperatorImageFunctionType::Pointer	OperatorImageFunctionPointer
typedef NeighborhoodOperatorImageFunction < InputImageType, TOutput >	OperatorImageFunctionType
typedef OperatorInternalImageFunctionType::Pointer	OperatorInternalImageFunctionPointer
typedef NeighborhoodOperatorImageFunction < InternalImageType, TOutput >	OperatorInternalImageFunctionType
typedef SmartPointer< Self >	Pointer
typedef Superclass::PointType	PointType
typedef GaussianBlurImageFunction	Self
typedef itk::FixedArray < double, itkGetStaticConstMacro(ImageDimension) >	SigmaArrayType
typedef ImageFunction < TInputImage, TOutput >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual TOutput	Evaluate (const PointType &point) const
virtual TOutput	EvaluateAtContinuousIndex (const ContinuousIndexType &index) const
virtual TOutput	EvaluateAtIndex (const IndexType &index) const
virtual const char *	GetNameOfClass () const
virtual const SigmaArrayType &	GetSigma ()
void	SetExtent (const double extent)
virtual void	SetInputImage (const InputImageType *ptr)
void	SetSigma (const double *sigma)
void	SetSigma (const float *sigma)
void	SetSigma (const double sigma)
virtual void	SetSigma (SigmaArrayType _arg)
virtual void	SetExtent (ExtentArrayType _arg)
virtual const ExtentArrayType &	GetExtent ()
void	SetExtent (const double *extent)
virtual void	SetMaximumError (ErrorArrayType _arg)
virtual const ErrorArrayType &	GetMaximumError ()
virtual void	SetMaximumKernelWidth (int _arg)
virtual int	GetMaximumKernelWidth () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = InputImageType::ImageDimension
Protected Member Functions
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
void	RecomputeContinuousGaussianKernel (const double *offset) const
void	RecomputeGaussianKernel ()
	~GaussianBlurImageFunction ()
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
virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing () const
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
	GaussianBlurImageFunction ()
	GaussianBlurImageFunction (const Self &)

---

Detailed Description

template<class TInputImage, class 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

Wiki Examples:

• All Examples

• GaussianBlurImageFunction

• GaussianBlurImageFunctionFilter

Definition at line 43 of file itkGaussianBlurImageFunction.h.

---

Member Typedef Documentation

template<class TInputImage , class TOutput = double>

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

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

Definition at line 56 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

ContinuousIndex Type.

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

Definition at line 68 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::ErrorArrayType

Definition at line 91 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::ExtentArrayType

Definition at line 92 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionPointer

Definition at line 79 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianSpatialFunction< TOutput, 1 > itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianFunctionType

Definition at line 78 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef GaussianOperator< TOutput, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianOperatorType

Definition at line 74 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Index Type.

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

Definition at line 67 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef TInputImage itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputImageType

InputImageType typedef support.

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

Definition at line 62 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef NumericTraits< InputPixelType >::RealType itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelRealType

Definition at line 80 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef InputImageType::PixelType itk::GaussianBlurImageFunction< TInputImage, TOutput >::InputPixelType

InputPixel typedef support

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

Definition at line 66 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef InternalImageType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImagePointer

Definition at line 83 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef itk::Image< InputPixelRealType, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::InternalImageType

Definition at line 82 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::NeighborhoodType

Definition at line 75 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef FixedArray< NeighborhoodType, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorArrayType

Definition at line 76 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Definition at line 86 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Definition at line 85 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef OperatorInternalImageFunctionType::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorInternalImageFunctionPointer

Definition at line 89 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef NeighborhoodOperatorImageFunction< InternalImageType, TOutput > itk::GaussianBlurImageFunction< TInputImage, TOutput >::OperatorInternalImageFunctionType

Definition at line 88 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Smart pointer typedef support.

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

Definition at line 55 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Point typedef support.

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

Definition at line 96 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

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

Standard "Self" typedef

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

Definition at line 49 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef itk::FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::GaussianBlurImageFunction< TInputImage, TOutput >::SigmaArrayType

Definition at line 93 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

typedef ImageFunction< TInputImage, TOutput > itk::GaussianBlurImageFunction< TInputImage, TOutput >::Superclass

Standard "Superclass" typedef

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

Definition at line 52 of file itkGaussianBlurImageFunction.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TOutput = double>

itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction

(

)

[protected]

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.

template<class TInputImage , class TOutput = double>

itk::GaussianBlurImageFunction< TInputImage, TOutput >::GaussianBlurImageFunction

(

const Self &

)

[protected]

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.

template<class TInputImage , class TOutput = double>

itk::GaussianBlurImageFunction< TInputImage, TOutput >::~GaussianBlurImageFunction

(

)

[inline, protected]

Definition at line 167 of file itkGaussianBlurImageFunction.h.

---

Member Function Documentation

template<class TInputImage , class TOutput = double>

virtual::itk::LightObject::Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::CreateAnother

(

void

)

const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TOutput = double>

virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::Evaluate

(

const PointType &

point

)

const [virtual]

Evalutate the in the given dimension at specified point

template<class TInputImage , class TOutput = double>

virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex

(

const ContinuousIndexType &

index

)

const [virtual]

Evaluate the function at specified ContinousIndex position.

template<class TInputImage , class TOutput = double>

virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex

(

const IndexType &

index

)

const [virtual]

Evaluate the function at specified Index position

template<class TInputImage , class TOutput = double>

virtual TOutput itk::GaussianBlurImageFunction< TInputImage, TOutput >::EvaluateAtIndex	(	const IndexType &	index,
		const OperatorArrayType &	operatorArray
	)		const [private, virtual]

template<class TInputImage , class TOutput = double>

virtual const ExtentArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetExtent

(

)

[virtual]

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

template<class TInputImage , class TOutput = double>

virtual const ErrorArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetMaximumError

(

)

[virtual]

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

template<class TInputImage , class 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

template<class TInputImage , class 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 >.

template<class TInputImage , class TOutput = double>

virtual const SigmaArrayType& itk::GaussianBlurImageFunction< TInputImage, TOutput >::GetSigma

(

)

[virtual]

template<class TInputImage , class 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.

template<class TInputImage , class TOutput = double>

static Pointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::New

(

)

[static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutput = double>

void itk::GaussianBlurImageFunction< TInputImage, TOutput >::operator=

(

const Self &

)

[protected]

Mutex lock to protect modification to the reference count

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

template<class TInputImage , class TOutput = double>

void itk::GaussianBlurImageFunction< TInputImage, TOutput >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const [protected, virtual]

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::ImageFunction< TInputImage, TOutput >.

template<class TInputImage , class TOutput = double>

void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeContinuousGaussianKernel

(

const double *

offset

)

const [protected]

template<class TInputImage , class TOutput = double>

void itk::GaussianBlurImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel

(

)

[protected]

template<class TInputImage , class 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.

template<class TInputImage , class 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.

template<class TInputImage , class TOutput = double>

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

(

const double

extent

)

template<class TInputImage , class TOutput = double>

virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetInputImage

(

const InputImageType *

ptr

)

[virtual]

Set the input image.

Warning:

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

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

template<class TInputImage , class 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.

template<class TInputImage , class 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

template<class TInputImage , class 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.

template<class TInputImage , class TOutput = double>

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

(

const float *

sigma

)

template<class TInputImage , class TOutput = double>

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

(

const double

sigma

)

template<class TInputImage , class TOutput = double>

virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::SetSigma

(

SigmaArrayType

_arg

)

[virtual]

template<class TInputImage , class 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.

template<class TInputImage , class TOutput = double>

virtual void itk::GaussianBlurImageFunction< TInputImage, TOutput >::UseImageSpacingOff

(

)

[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.

template<class TInputImage , class 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

template<class TInputImage , class TOutput = double>

const unsigned int itk::GaussianBlurImageFunction< TInputImage, TOutput >::ImageDimension = InputImageType::ImageDimension [static]

Dimension of the underlying image.

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

Definition at line 71 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_ContinuousOperatorArray [mutable, private]

Definition at line 186 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

ExtentArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Extent [private]

Definition at line 193 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

unsigned int itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_FilterDimensionality [private]

Number of dimensions to process. Default is all dimensions

Definition at line 200 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

GaussianFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_GaussianFunction [private]

Neighborhood Image Function

Definition at line 206 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

InternalImagePointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_InternalImage [private]

Definition at line 187 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class 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 192 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class 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 197 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorArray [mutable, private]

Definition at line 185 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorImageFunction [private]

Definition at line 183 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

OperatorInternalImageFunctionPointer itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_OperatorInternalImageFunction [private]

Definition at line 184 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

SigmaArrayType itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_Sigma [private]

Definition at line 182 of file itkGaussianBlurImageFunction.h.

template<class TInputImage , class TOutput = double>

bool itk::GaussianBlurImageFunction< TInputImage, TOutput >::m_UseImageSpacing [private]

Flag to indicate whether to use image spacing

Definition at line 203 of file itkGaussianBlurImageFunction.h.

---

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

• itkGaussianBlurImageFunction.h