#include <itkShapeDetectionLevelSetFunction.h>

Inheritance diagram for itk::ShapeDetectionLevelSetFunction< TImageType, TFeatureImageType >:

Collaboration diagram for itk::ShapeDetectionLevelSetFunction< TImageType, TFeatureImageType >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TFeatureImageType	FeatureImageType
typedef Superclass::FeatureScalarType	FeatureScalarType
typedef Superclass::FloatOffsetType	FloatOffsetType
typedef Superclass::GlobalDataStruct	GlobalDataStruct
typedef Superclass::ImageType	ImageType
typedef Superclass::NeighborhoodType	NeighborhoodType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef Superclass::ScalarValueType	ScalarValueType
typedef ShapeDetectionLevelSetFunction	Self
typedef SegmentationLevelSetFunction < TImageType, TFeatureImageType >	Superclass
Public Member Functions
virtual void	CalculateSpeedImage ()
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual ScalarValueType	CurvatureSpeed (const NeighborhoodType &neighborhood, const FloatOffsetType &offset, GlobalDataStruct *gd) const
virtual const char *	GetNameOfClass () const
virtual void	Initialize (const RadiusType &r)
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = Superclass::ImageDimension
Protected Member Functions
void	operator= (const Self &)
	ShapeDetectionLevelSetFunction ()
	ShapeDetectionLevelSetFunction (const Self &)
virtual	~ShapeDetectionLevelSetFunction ()

Detailed Description

template<class TImageType, class TFeatureImageType = TImageType>
class itk::ShapeDetectionLevelSetFunction< TImageType, TFeatureImageType >

This function is used in the ShapeDetectionLevelSetImageFilter to segment structures in an image based on a user supplied edge potential map.

IMPORTANT: The LevelSetFunction class contain additional information necessary to gain full understanding of how to use this function.

ShapeDetectionLevelSetFunction is a subclass of the generic LevelSetFunction. It is used to segment structures in an image based on a user supplied edge potential map $ g(I) $ , which has values close to zero in regions near edges (or high image gradient) and values close to one in regions with relatively constant intensity. Typically, the edge potential map is a function of the image gradient, for example:

$g(I) = 1 / ( 1 + | (\nabla * G)(I)| )$

$g(I) = \exp^{-|(\nabla * G)(I)|}$

where $ I $ is image intensity and $(\nabla * G)$ is the derivative of Gaussian operator.

The edge potential image is set via the SetFeatureImage() method.

In this function both the propagation term $P(\mathbf{x})$ and the curvature spatial modifier term $Z(\mathbf{x})$ are taken directly from the edge potential image such that:

$P(\mathbf{x}) = g(\mathbf{x})$

$Z(\mathbf{x}) = g(\mathbf{x})$

Note that there is no advection term in this function.

This implementation is based on: "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:: LevelSetFunction; SegmentationLevelSetImageFunction; ShapeDetectionLevelSetImageFilter

Definition at line 72 of file itkShapeDetectionLevelSetFunction.h.