itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage > Class Template Reference

This class implements the filter for computing the normal vectors from a scalar implicit function (i.e. a levelset image) and processing them. More...

#include <itkImplicitManifoldNormalVectorFilter.h>

Inheritance diagram for itk::ImplicitManifoldNormalVectorFilter:

[legend]Collaboration diagram for itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >:

[legend]List of all members.

Public Types
typedef ImplicitManifoldNormalVectorFilter	Self
typedef FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::InputImageType	InputImageType
typedef Superclass::IndexType	IndexType
typedef Superclass::NodeDataType	NormalVectorType
typedef Superclass::NodeValueType	NodeValueType
typedef Superclass::FiniteDifferenceFunctionType	FiniteDifferenceFunctionType
typedef Superclass::SparseOutputImageType	SparseOutputImageType
typedef Superclass::OutputNodeType	NormalBandNodeType
typedef Superclass::NodeListType	NodeListType
typedef ConstNeighborhoodIterator< InputImageType >	InputImageIteratorType
typedef NormalVectorFunctionBase< SparseOutputImageType >	NormalFunctionType
typedef FiniteDifferenceFunctionType::RadiusType	RadiusType
Public Methods
virtual const char *	GetClassName () const
	itkStaticConstMacro (ImageDimension, unsigned int, Superclass::ImageDimension)
void	SetNormalFunction (NormalFunctionType *nf)
virtual void	SetMaxIteration (unsigned int _arg)
virtual unsigned int	GetMaxIteration ()
virtual void	SetIsoLevelLow (NodeValueType _arg)
virtual NodeValueType	GetIsoLevelLow ()
virtual void	SetIsoLevelHigh (NodeValueType _arg)
virtual NodeValueType	GetIsoLevelHigh ()
virtual void	SetMinVectorNorm (NodeValueType _arg)
virtual NodeValueType	GetMinVectorNorm ()
virtual void	SetUnsharpMaskingFlag (bool _arg)
virtual bool	GetUnsharpMaskingFlag ()
virtual void	SetUnsharpMaskingWeight (NodeValueType _arg)
virtual NodeValueType	GetUnsharpMaskingWeight ()
virtual bool	Halt ()
Static Public Methods
Pointer	New ()
Protected Methods
	ImplicitManifoldNormalVectorFilter ()
	~ImplicitManifoldNormalVectorFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	Initialize ()
void	SetNormalBand ()
void	InitializeNormalBandNode (NormalBandNodeType *node, const InputImageIteratorType &it)
virtual void	CopyInputToOutput ()
virtual NormalVectorType	DataConstraint (const NormalVectorType &data) const
virtual void	PostProcessOutput ()

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Detailed Description

template<class TInputImage, class TSparseOutputImage>
class itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >

This class implements the filter for computing the normal vectors from a scalar implicit function (i.e. a levelset image) and processing them.

This is a ready-to-use class for filtering normal vectors of an implicit manifold image. The normal vectors of the input image are computed and processed in a band where the values of the input image fall in the region [IsoLevelLow, IsoLevelHigh]. The processing is done by m_NormalFunction. This class also defines a Halt method which uses the iteration counter and the parameter m_MaxIteration to determine when to stop the processing.

INPUTS

The input is a scalar image. Even though this can be any scalar image, this filter class is intended to work with the image of an implicit function. One such example is the output of the SparseFieldLevelSetImageFilter class.

OUTPUTS

The output is a sparse image. The m_Data member variables of the nodes of the sparse image will contain the filtered output normal vectors. The sparse image has valid node pointers only in the band [IsoLevelLow, IsoLevelHigh]. Pixels of the sparse image outside this band will be null pointers.

PARAMETERS

IsoLevelLow and IsoLevelHigh define the working band for this filter. Pixels of the input scalar image whose values fall between these low and high limits will be operated on. MaxIteration determines the number of iterations this filter will perform. (Default is 25) The MinVectorNorm parameter determines the minumum vector norm allowed (to avoid divide by 0). The default for MinVectorNorm is 10^-6 which is designed to work with an input image of floats. This value can be lowered to 10^-12 if the input image is doubles.

IMPORTANT

The TSparseOutputImage template parameter must be a sparse image templated over a NodeType which at least has the following members: m_Data, m_InputData, m_Update and m_MAnifoldNormal. Depending on the Function object being used it might need other members. For instance, NormalVectorDiffusionFunction will also require that the NodeType has the following additional members: m_Flux.

Definition at line 71 of file itkImplicitManifoldNormalVectorFilter.h.

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Member Typedef Documentation

template<class TInputImage, class TSparseOutputImage> typedef SmartPointer<const Self> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::ConstPointer

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 81 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::FiniteDifferenceFunctionType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::FiniteDifferenceFunctionType

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 99 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::IndexType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::IndexType

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 95 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef ConstNeighborhoodIterator<InputImageType> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InputImageIteratorType

The iterator for the input image. Definition at line 105 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::InputImageType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InputImageType

Typedefs from the superclass Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 94 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::NodeListType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NodeListType

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 102 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NodeValueType

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 97 of file itkImplicitManifoldNormalVectorFilter.h. Referenced by itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CopyInputToOutput().

template<class TInputImage, class TSparseOutputImage> typedef Superclass::OutputNodeType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalBandNodeType

Definition at line 101 of file itkImplicitManifoldNormalVectorFilter.h. Referenced by itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::~ImplicitManifoldNormalVectorFilter().

template<class TInputImage, class TSparseOutputImage> typedef NormalVectorFunctionBase<SparseOutputImageType> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalFunctionType

This is the finite difference function type for processing the normal vectors Definition at line 109 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::NodeDataType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalVectorType

Definition at line 96 of file itkImplicitManifoldNormalVectorFilter.h. Referenced by itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CopyInputToOutput().

template<class TInputImage, class TSparseOutputImage> typedef SmartPointer<Self> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Pointer

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 80 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef FiniteDifferenceFunctionType::RadiusType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::RadiusType

This is the radius type for the image neigborhoods. Definition at line 112 of file itkImplicitManifoldNormalVectorFilter.h. Referenced by itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CopyInputToOutput().

template<class TInputImage, class TSparseOutputImage> typedef ImplicitManifoldNormalVectorFilter itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Self

Standard class typedef Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 77 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef Superclass::SparseOutputImageType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SparseOutputImageType

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 100 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> typedef FiniteDifferenceSparseImageFilter<TInputImage, TSparseOutputImage> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Superclass

Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >. Definition at line 79 of file itkImplicitManifoldNormalVectorFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TSparseOutputImage> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::ImplicitManifoldNormalVectorFilter (    )  [protected]

template<class TInputImage, class TSparseOutputImage> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::~ImplicitManifoldNormalVectorFilter (    )  [inline, protected]

Definition at line 132 of file itkImplicitManifoldNormalVectorFilter.h. References itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalBandNodeType.

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Member Function Documentation

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::CopyInputToOutput (    )  [inline, protected, virtual]

This function does nothing. The output initialization is handled by Initialize. Implements itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >. Definition at line 147 of file itkImplicitManifoldNormalVectorFilter.h. References itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NodeValueType, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::NormalVectorType, and itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::RadiusType.

template<class TInputImage, class TSparseOutputImage> virtual NormalVectorType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::DataConstraint (  const NormalVectorType &    data )  const [inline, protected, virtual]

This function implements the unit norm constraint for normal vectors. Definition at line 181 of file itkImplicitManifoldNormalVectorFilter.h.

template<class TInputImage, class TSparseOutputImage> virtual const char* itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetClassName (    )  const [virtual]

Run-time type information (and related methods) Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

template<class TInputImage, class TSparseOutputImage> virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetIsoLevelHigh (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetIsoLevelLow (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual unsigned int itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetMaxIteration (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetMinVectorNorm (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual bool itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetUnsharpMaskingFlag (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual NodeValueType itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::GetUnsharpMaskingWeight (    )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual bool itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Halt (    )  [inline, virtual]

This is the stopping criterion function used in the iterative finite difference scheme. Implements itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >. Definition at line 194 of file itkImplicitManifoldNormalVectorFilter.h. References itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >::GetElapsedIterations().

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::Initialize (    )  [protected, virtual]

This calls SetNormalBand to create the band of normals to process. Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

template<class TInputImage, class TSparseOutputImage> void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::InitializeNormalBandNode (  NormalBandNodeType *    node, const InputImageIteratorType &    it )  [protected]

This function precomputes information for normal vector processing .

template<class TInputImage, class TSparseOutputImage> itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::itkStaticConstMacro (  ImageDimension   , unsigned    int, Superclass::ImageDimension    )

Standard get dimension macro. Reimplemented from itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

template<class TInputImage, class TSparseOutputImage> Pointer itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::New (    )  [static]

Standard New macro. Reimplemented from itk::Object.

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::PostProcessOutput (    )  [protected, virtual]

This function implements unsharp masking which is turned ON/OFF by the UnsharpMaskingFlag and controlled by the UnsharpMaskingWeight parameters. Reimplemented from itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >.

template<class TInputImage, class TSparseOutputImage> void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::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::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >.

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetIsoLevelHigh (  NodeValueType    _arg )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetIsoLevelLow (  NodeValueType    _arg )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetMaxIteration (  unsigned int    _arg )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetMinVectorNorm (  NodeValueType    _arg )  [virtual]

template<class TInputImage, class TSparseOutputImage> void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetNormalBand (    )  [protected]

This function sets the band for normal vector processing.

template<class TInputImage, class TSparseOutputImage> void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetNormalFunction (  NormalFunctionType *    nf )

This method is used to set the finite difference function.

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetUnsharpMaskingFlag (  bool    _arg )  [virtual]

template<class TInputImage, class TSparseOutputImage> virtual void itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >::SetUnsharpMaskingWeight (  NodeValueType    _arg )  [virtual]

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

• itkImplicitManifoldNormalVectorFilter.h

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