#include <itkThresholdSegmentationLevelSetFunction.h>

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

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

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TFeatureImageType	FeatureImageType
typedef Superclass::FeatureScalarType	FeatureScalarType
typedef Superclass::ImageType	ImageType
typedef SmartPointer< Self >	Pointer
typedef Superclass::RadiusType	RadiusType
typedef Superclass::ScalarValueType	ScalarValueType
typedef ThresholdSegmentationLevelSetFunction	Self
typedef SegmentationLevelSetFunction < TImageType, TFeatureImageType >	Superclass
Public Member Functions
virtual void	CalculateSpeedImage ()
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
ScalarValueType	GetEdgeWeight () const
virtual const char *	GetNameOfClass () const
ScalarValueType	GetSmoothingConductance () const
int	GetSmoothingIterations () const
ScalarValueType	GetSmoothingTimeStep () const
virtual void	Initialize (const RadiusType &r)
void	SetEdgeWeight (const ScalarValueType p)
void	SetSmoothingConductance (const ScalarValueType p)
void	SetSmoothingIterations (const int p)
void	SetSmoothingTimeStep (const ScalarValueType i)

void	SetUpperThreshold (FeatureScalarType f)
FeatureScalarType	GetUpperThreshold () const
void	SetLowerThreshold (FeatureScalarType f)
FeatureScalarType	GetLowerThreshold () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = Superclass::ImageDimension
Protected Member Functions
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
	ThresholdSegmentationLevelSetFunction ()
	ThresholdSegmentationLevelSetFunction (const Self &)
virtual	~ThresholdSegmentationLevelSetFunction ()
Protected Attributes
ScalarValueType	m_EdgeWeight
FeatureScalarType	m_LowerThreshold
ScalarValueType	m_SmoothingConductance
int	m_SmoothingIterations
ScalarValueType	m_SmoothingTimeStep
FeatureScalarType	m_UpperThreshold

Detailed Description

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

This function is used in ThresholdSegmentationLevelSetImageFilter to segment structures in images based on intensity values.

SegmentationLevelSetFunction is a subclass of the generic LevelSetFunction.: It is useful for segmentations based on intensity values in an image. It works by constructing a speed term (feature image) with positive values inside an intensity window (between a low and high threshold) and negative values outside that intensity window. The evolving level set front will lock onto regions that are at the edges of the intensity window.

You may optionally add a Laplacian calculation on the image to the threshold-based speed term by setting the EdgeWeight parameter to a non-zero value. The Laplacian term will cause the evolving surface to be more strongly attracted to image edges. Several parameters control a preprocessing FeatureImage smoothing stage applied only to the Laplacian calculation.

: Image is thresholded pixel by pixel using upper threshold and lower threshold according to the following formula.

: $f(x) = \left\{ \begin{array}{ll} g(x) - L & \mbox{if $(g)x < (U-L)/2 + L$} \\ U - g(x) & \mbox{otherwise} \end{array} \right.$