itk::GaussianImageSource< TOutputImage > Class Template Reference

#include <itkGaussianImageSource.h>

Inheritance diagram for itk::GaussianImageSource< TOutputImage >:

Collaboration diagram for itk::GaussianImageSource< TOutputImage >:

List of all members.

Public Types
typedef FixedArray< double, itkGetStaticConstMacro(NDimensions) >	ArrayType
typedef SmartPointer< const Self >	ConstPointer
typedef TOutputImage::DirectionType	DirectionType
typedef TOutputImage::PixelType	OutputImagePixelType
typedef TOutputImage::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef Superclass::ParametersType	ParametersType
typedef Superclass::ParametersValueType	ParametersValueType
typedef SmartPointer< Self >	Pointer
typedef TOutputImage::PointType	PointType
typedef GaussianImageSource	Self
typedef TOutputImage::SizeType	SizeType
typedef TOutputImage::SizeValueType	SizeValueType
typedef TOutputImage::SpacingType	SpacingType
typedef ParametricImageSource < TOutputImage >	Superclass
Public Types inherited from itk::ParametricImageSource< TOutputImage >
typedef DataObject::Pointer	DataObjectPointer
typedef OutputImageType::Pointer	OutputImagePointer
Public Types inherited from itk::GenerateImageSource< TOutputImage >
typedef OutputImageType::PixelType	PixelType
typedef OutputImageType::RegionType	RegionType
Public Types inherited from itk::ImageSource< TOutputImage >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
virtual unsigned int	GetNumberOfParameters () const
virtual void	SetScale (double _arg)
virtual const double &	GetScale ()
virtual void	SetNormalized (bool _arg)
virtual const bool &	GetNormalized ()
virtual void	SetSigma (ArrayType _arg)
virtual const ArrayType &	GetSigma ()
virtual void	SetMean (ArrayType _arg)
virtual const ArrayType &	GetMean ()
virtual void	SetParameters (const ParametersType &parameters)
virtual ParametersType	GetParameters () const
Public Member Functions inherited from itk::ParametricImageSource< TOutputImage >
virtual void	SetParameters (const ParametersType &parameters)=0
Public Member Functions inherited from itk::GenerateImageSource< TOutputImage >
virtual void	SetSize (SizeType _arg)
virtual const SizeType &	GetSize ()
virtual void	SetSize (SizeValueType data[])
virtual void	SetSpacing (SpacingType _arg)
virtual const SpacingType &	GetSpacing ()
virtual void	SetSpacing (const float data[])
virtual void	SetOrigin (PointType _arg)
virtual const PointType &	GetOrigin ()
virtual void	SetOrigin (const float data[])
virtual void	SetDirection (DirectionType _arg)
virtual const DirectionType &	GetDirection ()
Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () 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 Attributes
static const unsigned int	NDimensions = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::ParametricImageSource< TOutputImage >
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::GenerateImageSource< TOutputImage >
Static Public Attributes inherited from itk::ImageSource< TOutputImage >

Protected Member Functions
	GaussianImageSource ()
void	GenerateData ()
void	PrintSelf (std::ostream &os, Indent indent) const
Protected Member Functions inherited from itk::ParametricImageSource< TOutputImage >
	ParametricImageSource ()
virtual	~ParametricImageSource ()
Protected Member Functions inherited from itk::GenerateImageSource< TOutputImage >
	GenerateImageSource ()
virtual void	GenerateOutputInformation ()
Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~ImageSource ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
	ProcessObject ()
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual void	RemoveInput (const DataObjectIdentifierType &key)
virtual void	RemoveInput (DataObjectPointerArraySizeType)
virtual void	RemoveOutput (const DataObjectIdentifierType &key)
virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyInputInformation ()
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
virtual void	PushBackInput (const DataObject *input)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const DataObject *input)
virtual void	PopFrontInput ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
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 ()

Private Member Functions
	GaussianImageSource (const GaussianImageSource &)
void	operator= (const GaussianImageSource &)

Private Attributes
DirectionType	m_Direction
ArrayType	m_Mean
bool	m_Normalized
PointType	m_Origin
double	m_Scale
ArrayType	m_Sigma
SizeType	m_Size
SpacingType	m_Spacing

---

Detailed Description

template<typename TOutputImage>
class itk::GaussianImageSource< TOutputImage >

Generate an n-dimensional image of a Gaussian.

GaussianImageSource generates an image of a Gaussian. m_Normalized determines whether or not the Gaussian is normalized (whether or not the sum over infinite space is 1.0) When creating an image, it is preferable to not normalize the Gaussian m_Scale scales the output of the Gaussian to span a range larger than 0->1, and is typically set to the maximum value of the output data type (for instance, 255 for uchars)

The output image may be of any dimension.

Definition at line 44 of file itkGaussianImageSource.h.

---

Member Typedef Documentation

template<typename TOutputImage >

typedef FixedArray< double, itkGetStaticConstMacro(NDimensions) > itk::GaussianImageSource< TOutputImage >::ArrayType

Type used to store Gaussian parameters.

Definition at line 79 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef SmartPointer< const Self > itk::GaussianImageSource< TOutputImage >::ConstPointer

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 52 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::DirectionType itk::GaussianImageSource< TOutputImage >::DirectionType

Direction typedef support. The direction is the direction cosines of the image.

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 73 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::PixelType itk::GaussianImageSource< TOutputImage >::OutputImagePixelType

Typedef for the output image PixelType.

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 58 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::RegionType itk::GaussianImageSource< TOutputImage >::OutputImageRegionType

Typedef to describe the output image region type.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 61 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage itk::GaussianImageSource< TOutputImage >::OutputImageType

Typedef for the output image type.

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 55 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef Superclass::ParametersType itk::GaussianImageSource< TOutputImage >::ParametersType

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 87 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef Superclass::ParametersValueType itk::GaussianImageSource< TOutputImage >::ParametersValueType

Types for parameters.

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 86 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef SmartPointer< Self > itk::GaussianImageSource< TOutputImage >::Pointer

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 51 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::PointType itk::GaussianImageSource< TOutputImage >::PointType

Origin typedef support. The origin is the geometric coordinates of the index (0,0).

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 69 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef GaussianImageSource itk::GaussianImageSource< TOutputImage >::Self

Standard class typedefs.

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 49 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::SizeType itk::GaussianImageSource< TOutputImage >::SizeType

Size type matches that used for images

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 82 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::SizeValueType itk::GaussianImageSource< TOutputImage >::SizeValueType

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 83 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef TOutputImage::SpacingType itk::GaussianImageSource< TOutputImage >::SpacingType

Spacing typedef support. Spacing holds the size of a pixel. The spacing is the geometric distance between image samples.

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 65 of file itkGaussianImageSource.h.

template<typename TOutputImage >

typedef ParametricImageSource< TOutputImage > itk::GaussianImageSource< TOutputImage >::Superclass

Reimplemented from itk::ParametricImageSource< TOutputImage >.

Definition at line 50 of file itkGaussianImageSource.h.

---

Constructor & Destructor Documentation

template<typename TOutputImage >

itk::GaussianImageSource< TOutputImage >::GaussianImageSource ( )

protected

template<typename TOutputImage >

itk::GaussianImageSource< TOutputImage >::GaussianImageSource ( const GaussianImageSource< TOutputImage > &  )

private

---

Member Function Documentation

template<typename TOutputImage >

virtual::itk::LightObject::Pointer itk::GaussianImageSource< TOutputImage >::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<typename TOutputImage >

void itk::GaussianImageSource< TOutputImage >::GenerateData ( )

protectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:

ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TOutputImage >

virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetMean ( )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual const char* itk::GaussianImageSource< TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ParametricImageSource< TOutputImage >.

template<typename TOutputImage >

virtual const bool& itk::GaussianImageSource< TOutputImage >::GetNormalized ( )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual unsigned int itk::GaussianImageSource< TOutputImage >::GetNumberOfParameters ( ) const

virtual

Get the number of parameters for this image source. When this source is templated over an N-dimensional output image type, the number of parameters is 2*N+1.

Implements itk::ParametricImageSource< TOutputImage >.

template<typename TOutputImage >

virtual ParametersType itk::GaussianImageSource< TOutputImage >::GetParameters ( ) const

virtual

Set/get the parameters for this source. When this source is templated over an N-dimensional output image type, the first N values in the parameter array are the Sigma parameters in each dimension, the next N values are the Mean parameters in each dimension, and the last value is the Scale.

Implements itk::ParametricImageSource< TOutputImage >.

template<typename TOutputImage >

virtual const double& itk::GaussianImageSource< TOutputImage >::GetScale ( )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetSigma ( )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

static Pointer itk::GaussianImageSource< TOutputImage >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<typename TOutputImage >

void itk::GaussianImageSource< TOutputImage >::operator= ( const GaussianImageSource< TOutputImage > &  )

private

template<typename TOutputImage >

void itk::GaussianImageSource< TOutputImage >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

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::ParametricImageSource< TOutputImage >.

template<typename TOutputImage >

virtual void itk::GaussianImageSource< TOutputImage >::SetMean ( ArrayType  _arg )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual void itk::GaussianImageSource< TOutputImage >::SetNormalized ( bool  _arg )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual void itk::GaussianImageSource< TOutputImage >::SetParameters ( const ParametersType &  parameters )

virtual

Set/get the parameters for this source. When this source is templated over an N-dimensional output image type, the first N values in the parameter array are the Sigma parameters in each dimension, the next N values are the Mean parameters in each dimension, and the last value is the Scale.

template<typename TOutputImage >

virtual void itk::GaussianImageSource< TOutputImage >::SetScale ( double  _arg )

virtual

Gets and sets for Gaussian parameters

template<typename TOutputImage >

virtual void itk::GaussianImageSource< TOutputImage >::SetSigma ( ArrayType  _arg )

virtual

Gets and sets for Gaussian parameters

---

Member Data Documentation

template<typename TOutputImage >

DirectionType itk::GaussianImageSource< TOutputImage >::m_Direction

private

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 134 of file itkGaussianImageSource.h.

template<typename TOutputImage >

ArrayType itk::GaussianImageSource< TOutputImage >::m_Mean

private

The mean in each direction.

Definition at line 142 of file itkGaussianImageSource.h.

template<typename TOutputImage >

bool itk::GaussianImageSource< TOutputImage >::m_Normalized

private

Whether or not to normalize the Gaussian.

Definition at line 148 of file itkGaussianImageSource.h.

template<typename TOutputImage >

PointType itk::GaussianImageSource< TOutputImage >::m_Origin

private

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 133 of file itkGaussianImageSource.h.

template<typename TOutputImage >

double itk::GaussianImageSource< TOutputImage >::m_Scale

private

A scale factor multiplied by the true value of the Gaussian.

Definition at line 145 of file itkGaussianImageSource.h.

template<typename TOutputImage >

ArrayType itk::GaussianImageSource< TOutputImage >::m_Sigma

private

Parameters for the Gaussian. The standard deviation in each direction.

Definition at line 139 of file itkGaussianImageSource.h.

template<typename TOutputImage >

SizeType itk::GaussianImageSource< TOutputImage >::m_Size

private

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 131 of file itkGaussianImageSource.h.

template<typename TOutputImage >

SpacingType itk::GaussianImageSource< TOutputImage >::m_Spacing

private

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 132 of file itkGaussianImageSource.h.

template<typename TOutputImage >

const unsigned int itk::GaussianImageSource< TOutputImage >::NDimensions = TOutputImage::ImageDimension

static

Dimensionality of the output image

Reimplemented from itk::GenerateImageSource< TOutputImage >.

Definition at line 76 of file itkGaussianImageSource.h.

---

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

• itkGaussianImageSource.h