Class that takes a vector field, and applies Gaussian smoothing. More...

Inheritance diagram for itk::GaussianSmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >:

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Collaboration diagram for itk::GaussianSmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >:

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Public Types
typedef GaussianSmoothVectorFieldFilter	Self

typedef SmoothVectorFieldFilter < TScalarType, NumberImageDimensions, NumberVectorDimensions >	Superclass

typedef SmartPointer< Self >	Pointer

typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::NeighborhoodOperatorType	NeighborhoodOperatorType

typedef GaussianOperator < TScalarType, NumberImageDimensions >	GaussianOperatorType

typedef FixedArray < TScalarType, NumberImageDimensions >	SigmaType

Public Types inherited from itk::SmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >
typedef SmoothVectorFieldFilter	Self

typedef ImageToImageFilter < Image< Vector< TScalarType, NumberVectorDimensions > , NumberImageDimensions > , Image< Vector< TScalarType, NumberVectorDimensions > , NumberImageDimensions > >	Superclass

typedef SmartPointer< Self >	Pointer

typedef SmartPointer< const Self >	ConstPointer

typedef TScalarType	OutputDataType

typedef Vector< OutputDataType, NumberVectorDimensions >	OutputPixelType

typedef Image< OutputPixelType, NumberImageDimensions >	OutputImageType

typedef OutputImageType::Pointer	OutputImagePointer

typedef Superclass::InputImageType	InputImageType

typedef InputImageType::Pointer	InputImagePointer

typedef Superclass::InputImageRegionType	RegionType

typedef NeighborhoodOperator < TScalarType, NumberImageDimensions >	NeighborhoodOperatorType

typedef VectorNeighborhoodOperatorImageFilter < InputImageType, OutputImageType >	SmootherFilterType

typedef SmootherFilterType::Pointer	SmootherFilterPointer

Public Member Functions
virtual const char *	GetClassName () const

virtual SigmaType	GetSigma ()

virtual void	SetSigma (SigmaType _arg)

Public Member Functions inherited from itk::SmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >
	itkStaticConstMacro (ImageDimensions, unsigned int, NumberImageDimensions)

	itkStaticConstMacro (VectorDimensions, unsigned int, NumberVectorDimensions)

void	WriteVectorImage (std::string filename)

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	GaussianSmoothVectorFieldFilter ()

	~GaussianSmoothVectorFieldFilter ()

NeighborhoodOperatorType *	CreateOperator (int dimension)

Protected Member Functions inherited from itk::SmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >
	SmoothVectorFieldFilter ()

	~SmoothVectorFieldFilter ()

virtual void	GenerateInputRequestedRegion () throw (InvalidRequestedRegionError)

virtual void	EnlargeOutputRequestedRegion (DataObject *output)

virtual void	GenerateData ()

Detailed Description

template<class TScalarType, unsigned int NumberImageDimensions, unsigned int NumberVectorDimensions>
class itk::GaussianSmoothVectorFieldFilter< TScalarType, NumberImageDimensions, NumberVectorDimensions >

Class that takes a vector field, and applies Gaussian smoothing.

As of 16/01/2010, I have extended this to cope with time varying vector fields. This means that you have an image dimension and a vector dimension, which can be different. For example, you could have images of 2D vectors (x,y), but the image could be 2D, or for example 3D (time varying vector field).