itk::GaussianImageSource< TOutputImage > Class Template Reference
[Data Sources]

Generate an n-dimensional image of a Gaussian. More...

#include <itkGaussianImageSource.h>

Inheritance diagram for itk::GaussianImageSource< TOutputImage >:

[legend]Collaboration diagram for itk::GaussianImageSource< TOutputImage >:

[legend]List of all members.

Public Types
typedef GaussianImageSource	Self
typedef ImageSource< TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TOutputImage::PixelType	OutputImagePixelType
typedef TOutputImage::RegionType	OutputImageRegionType
typedef TOutputImage::SpacingType	SpacingType
typedef TOutputImage::PointType	PointType
typedef FixedArray< double, itkGetStaticConstMacro(NDimensions)	ArrayType )
Public Member Functions
	itkStaticConstMacro (NDimensions, unsigned int, TOutputImage::ImageDimension)
virtual const char *	GetClassName () const
virtual void	SetSize (const unsigned long values[NDimensions])
virtual const unsigned long *	GetSize () const
virtual const SpacingType	GetSpacing ()
virtual PointType	GetOrigin ()
virtual void	SetSpacing (const SpacingType &values)
virtual void	SetSpacing (const float values[NDimensions])
virtual void	SetSpacing (const double values[NDimensions])
virtual void	SetOrigin (const PointType &values)
virtual void	SetOrigin (const float values[NDimensions])
virtual void	SetOrigin (const double values[NDimensions])
virtual void	SetScale (double _arg)
virtual double	GetScale ()
virtual void	SetNormalized (bool _arg)
virtual bool	GetNormalized ()
virtual void	SetSigma (ArrayType _arg)
virtual ArrayType	GetSigma ()
virtual void	SetMean (ArrayType _arg)
virtual ArrayType	GetMean ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	GaussianImageSource ()
	~GaussianImageSource ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()
virtual void	GenerateOutputInformation ()

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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 42 of file itkGaussianImageSource.h.

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Member Typedef Documentation

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

Type used to store gaussian parameters. Definition at line 69 of file itkGaussianImageSource.h.

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

Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 49 of file itkGaussianImageSource.h.

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

Typedef for the output image PixelType. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 52 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 55 of file itkGaussianImageSource.h.

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

Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 48 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 63 of file itkGaussianImageSource.h.

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

Standard class typedefs. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 46 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 59 of file itkGaussianImageSource.h.

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

Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 47 of file itkGaussianImageSource.h.

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Constructor & Destructor Documentation

template<typename TOutputImage> itk::GaussianImageSource< TOutputImage >::GaussianImageSource (   )  [protected]

template<typename TOutputImage> itk::GaussianImageSource< TOutputImage >::~GaussianImageSource (   )  [protected]

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Member Function Documentation

template<typename TOutputImage> void itk::GaussianImageSource< TOutputImage >::GenerateData (   )  [protected, virtual]

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 void itk::GaussianImageSource< TOutputImage >::GenerateOutputInformation (   )  [protected, virtual]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information. Reimplemented from itk::ProcessObject.

template<typename TOutputImage> virtual const char* itk::GaussianImageSource< TOutputImage >::GetClassName (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageSource< TOutputImage >.

template<typename TOutputImage> virtual ArrayType itk::GaussianImageSource< TOutputImage >::GetMean (   )  [virtual]

Gets and sets for gaussian parameters

template<typename TOutputImage> virtual bool itk::GaussianImageSource< TOutputImage >::GetNormalized (   )  [virtual]

Gets and sets for gaussian parameters

template<typename TOutputImage> virtual PointType itk::GaussianImageSource< TOutputImage >::GetOrigin (   )  [virtual]

Get the origin of the output image.

template<typename TOutputImage> virtual double itk::GaussianImageSource< TOutputImage >::GetScale (   )  [virtual]

Gets and sets for gaussian parameters

template<typename TOutputImage> virtual ArrayType itk::GaussianImageSource< TOutputImage >::GetSigma (   )  [virtual]

Gets and sets for gaussian parameters

template<typename TOutputImage> virtual const unsigned long* itk::GaussianImageSource< TOutputImage >::GetSize (   )  const [virtual]

Get the size of the output image.

template<typename TOutputImage> virtual const SpacingType itk::GaussianImageSource< TOutputImage >::GetSpacing (   )  [virtual]

Get the spacing of the output image.

template<typename TOutputImage> itk::GaussianImageSource< TOutputImage >::itkStaticConstMacro (  NDimensions  , unsigned  int, TOutputImage::ImageDimension  )

Dimensionality of the output image

template<typename TOutputImage> Pointer itk::GaussianImageSource< TOutputImage >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::Object.

template<typename TOutputImage> void itk::GaussianImageSource< TOutputImage >::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::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 >::SetOrigin (  const double  values[NDimensions]  )  [virtual]

Specify the origin of the output image.

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetOrigin (  const float  values[NDimensions]  )  [virtual]

Specify the origin of the output image.

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetOrigin (  const PointType &  values  )  [virtual]

Specify the origin of the output image.

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

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetSize (  const unsigned long  values[NDimensions]  )  [virtual]

Specify the size of the output image.

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetSpacing (  const double  values[NDimensions]  )  [virtual]

Specify the spacing of the output image.

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetSpacing (  const float  values[NDimensions]  )  [virtual]

Specify the spacing of the output image.

template<typename TOutputImage> virtual void itk::GaussianImageSource< TOutputImage >::SetSpacing (  const SpacingType &  values  )  [virtual]

Specify the spacing of the output image.

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

• itkGaussianImageSource.h

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