itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference
[Level Set-Based Segmentation Filters]

Segments structures in images based on a user supplied edge potential map. More...

#include <itkShapeDetectionLevelSetImageFilter.h>

Inheritance diagram for itk::ShapeDetectionLevelSetImageFilter:

[legend]Collaboration diagram for itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

[legend]List of all members.

Public Types
typedef ShapeDetectionLevelSetImageFilter	Self
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ValueType	ValueType
typedef Superclass::OutputImageType	OutputImageType
typedef Superclass::FeatureImageType	FeatureImageType
typedef ShapeDetectionLevelSetFunction< OutputImageType, FeatureImageType >	ShapeDetectionFunctionType
typedef ShapeDetectionFunctionType::Pointer	ShapeDetectionFunctionPointer
Public Methods
virtual const char *	GetClassName () const
Static Public Methods
Pointer	New ()
Protected Methods
	~ShapeDetectionLevelSetImageFilter ()
	ShapeDetectionLevelSetImageFilter ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	ShapeDetectionLevelSetImageFilter (const Self &)
void	operator= (const Self &)
void	GenerateData ()

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Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
class itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >

Segments structures in images based on a user supplied edge potential map.

IMPORTANT

The SegmentationLevelSetImageFilter class and the ShapeDetectionLevelSetFunction class contain additional information necessary to gain full understanding of how to use this filter.

OVERVIEW

This class is a level set method segmentation filter. An initial contour is propagated outwards (or inwards) until it ''sticks'' to the shape boundaries. This is done by using a level set speed function based on a user supplied edge potential map. This approach for segmentation follows that of Malladi et al (1995).

INPUTS

This filter requires two inputs. The first input is a initial level set. The initial level set is a real image which contains the initial contour/surface as the zero level set. For example, a signed distance function from the initial contour/surface is typically used. Note that for this algorithm the initial contour has to be wholly within (or wholly outside) the structure to be segmented.

The second input is the feature image. For this filter, this is the edge potential map. General characteristics of an edge potential map is that it has values close to zero in regions near the edges and values close to one inside the shape itself. Typically, the edge potential map is compute from the image gradient, for example:

where is image intensity and is the derivative of Gaussian operator.

See SegmentationLevelSetImageFilter and SparseFieldLevelSetImageFilter for more information on Inputs.

PARAMETERS

The PropagationScaling parameter can be used to switch from propagation outwards (POSITIVE scaling parameter) versus propagating inwards (NEGATIVE scaling parameter).

The smoothness of the resulting contour/surface can be adjusted using a combination of PropagationScaling and CurvatureScaling parameters. The larger the CurvatureScaling parameter, the smoother the resulting contour. The CurvatureScaling parameter should be non-negative for proper operation of this algorithm. To follow the implementation in Malladi et al paper, set the PropagtionScaling to and CurvatureScaling to .

Note that there is no advection term for this filter. Setting the advection scaling will have no effect.

OUTPUTS

The filter outputs a single, scalar, real-valued image. Negative values in the output image represent the inside of the segmentated region and positive values in the image represent the outside of the segmented region. The zero crossings of the image correspond to the position of the propagating front.

See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.

REFERENCES

"Shape Modeling with Front Propagation: A Level Set Approach", R. Malladi, J. A. Sethian and B. C. Vermuri. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol 17, No. 2, pp 158-174, February 1995

See also:

SegmentationLevelSetImageFilter , ShapeDetectionLevelSetFunction , SparseFieldLevelSetImageFilter

Definition at line 106 of file itkShapeDetectionLevelSetImageFilter.h.

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Member Typedef Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SmartPointer<const Self> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 119 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef Superclass::FeatureImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 124 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef Superclass::OutputImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 123 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SmartPointer<Self> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 118 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef ShapeDetectionLevelSetImageFilter itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self

Standard class typedefs Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 114 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef ShapeDetectionFunctionType::Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionPointer

Definition at line 129 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef ShapeDetectionLevelSetFunction<OutputImageType, FeatureImageType> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionType

Type of the segmentation function Definition at line 128 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension> > itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 117 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef Superclass::ValueType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType

Inherited typedef from the superclass. Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >. Definition at line 122 of file itkShapeDetectionLevelSetImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~ShapeDetectionLevelSetImageFilter (    )  [inline, protected]

Definition at line 138 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionLevelSetImageFilter (    )  [protected]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionLevelSetImageFilter (  const Self &    )  [protected]

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Member Function Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData (    )  [protected]

Overridden from Superclass to handle the case when PropagationScaling is zero and CurvatureScaling is non-zero. Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual const char* itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetClassName (    )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New (    )  [static]

Method for creation through the object factory

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= (  const Self &    )  [protected]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf (  std::ostream &    os, Indent    indent )  const [protected, virtual]

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

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

• itkShapeDetectionLevelSetImageFilter.h

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