ITK  4.3.0
Insight Segmentation and Registration 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::GaussianImageSource< TOutputImage > Class Template Reference

#include <itkGaussianImageSource.h>

+ Inheritance diagram for itk::GaussianImageSource< TOutputImage >:
+ Collaboration diagram for itk::GaussianImageSource< TOutputImage >:

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.

Public Types

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

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 ArrayTypeGetSigma ()
 
virtual void SetMean (ArrayType _arg)
 
virtual const ArrayTypeGetMean ()
 
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 SizeTypeGetSize ()
 
virtual void SetSize (SizeValueType data[])
 
virtual void SetSpacing (SpacingType _arg)
 
virtual const SpacingTypeGetSpacing ()
 
virtual void SetSpacing (const float data[])
 
virtual void SetOrigin (PointType _arg)
 
virtual const PointTypeGetOrigin ()
 
virtual void SetOrigin (const float data[])
 
virtual void SetDirection (DirectionType _arg)
 
virtual const DirectionTypeGetDirection ()
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
OutputImageTypeGetOutput (void)
 
const OutputImageTypeGetOutput (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 ThreadIdTypeGetNumberOfThreads ()
 
- 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
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) 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
 
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 const unsigned int NDimensions = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension
 

Protected Member Functions

 GaussianImageSource ()
 
void GenerateData ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
- Protected Member Functions inherited from itk::ParametricImageSource< TOutputImage >
 ParametricImageSource ()
 
void PrintSelf (std::ostream &os, Indent indent) const
 
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
GetNumberOfRequiredOutputs ()
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (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 MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) 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 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 ()
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const
DataObjectPointerArraySizeType
GetNumberOfRequiredInputs ()
 
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
 

Additional Inherited Members

- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 

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

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.

Definition at line 73 of file itkGaussianImageSource.h.

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

Typedef for the output image PixelType.

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.

Definition at line 61 of file itkGaussianImageSource.h.

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

Typedef for the output image type.

Definition at line 55 of file itkGaussianImageSource.h.

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

Definition at line 87 of file itkGaussianImageSource.h.

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

Types for parameters.

Definition at line 86 of file itkGaussianImageSource.h.

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

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).

Definition at line 69 of file itkGaussianImageSource.h.

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

Standard class typedefs.

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

Definition at line 82 of file itkGaussianImageSource.h.

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

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.

Definition at line 65 of file itkGaussianImageSource.h.

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

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.

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::ProcessObject.

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

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

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

Definition at line 131 of file itkGaussianImageSource.h.

template<typename TOutputImage >
SpacingType itk::GaussianImageSource< TOutputImage >::m_Spacing
private

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

Definition at line 76 of file itkGaussianImageSource.h.


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