Segments structures in images based on intensity values. More...

Inheritance diagram for itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

Collaboration diagram for itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::FeatureImageType	FeatureImageType
typedef Superclass::OutputImageType	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef ThresholdSegmentationLevelSetImageFilter	Self
typedef SegmentationLevelSetImageFilter < TInputImage, TFeatureImage, TOutputPixelType >	Superclass
typedef ThresholdFunctionType::Pointer	ThresholdFunctionPointer
typedef ThresholdSegmentationLevelSetFunction < OutputImageType, FeatureImageType >	ThresholdFunctionType
typedef Superclass::ValueType	ValueType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
ValueType	GetEdgeWeight () const
ValueType	GetLowerThreshold () const
virtual const char *	GetNameOfClass () const
ValueType	GetSmoothingConductance () const
int	GetSmoothingIterations () const
ValueType	GetSmoothingTimeStep () const
ValueType	GetUpperThreshold () const
void	SetLowerThreshold (ValueType v)

void	SetUpperThreshold (ValueType v)

void	SetEdgeWeight (ValueType v)

void	SetSmoothingIterations (int v)

void	SetSmoothingTimeStep (ValueType v)

void	SetSmoothingConductance (ValueType v)
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
void	operator= (const Self &)
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	ThresholdSegmentationLevelSetImageFilter (const Self &)
	ThresholdSegmentationLevelSetImageFilter ()
	~ThresholdSegmentationLevelSetImageFilter ()
Private Attributes
ThresholdFunctionPointer	m_ThresholdFunction

Detailed Description

Segments structures in images based on intensity values.

IMPORTANT: The SegmentationLevelSetImageFilter class and the ThresholdSegmentationLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.

OVERVIEW: This class is a level set method segmentation filter. It constructs a speed function which is close to zero at the upper and lower bounds of an intensity window, effectively locking the propagating front onto those edges. Elsewhere, the front will propagate quickly.

INPUTS: This filter requires two inputs. The first input is a seed image. This seed image must contain an isosurface that you want to use as the seed for your segmentation. It can be a binary, graylevel, or floating point image. The only requirement is that it contain a closed isosurface that you will identify as the seed by setting the IsosurfaceValue parameter of the filter. For a binary image you will want to set your isosurface value halfway between your on and off values (i.e. for 0's and 1's, use an isosurface value of 0.5).

: The second input is the feature image. This is the image from which the speed function will be calculated. For most applications, this is the image that you want to segment. The desired isosurface in your seed image should lie within the region of your feature image that you are trying to segment. Note that this filter does no preprocessing of the feature image before thresholding.

OUTPUTS: The filter outputs a single, scalar, real-valued image. Positive values in the output image are inside the segmentated region and negative values in the image are outside of the inside region. The zero crossings of the image correspond to the position of the level set front.

: See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.

PARAMETERS: In addition to parameters described in SegmentationLevelSetImageFilter, this filter adds the UpperThreshold and LowerThreshold. See ThresholdSegmentationLevelSetFunction for a description of how these values affect the segmentation.

See also:: SegmentationLevelSetImageFilter; ThresholdSegmentationLevelSetFunction,; SparseFieldLevelSetImageFilter