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

#include <itkVectorThresholdSegmentationLevelSetImageFilter.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ThresholdFunctionType::CovarianceMatrixType	CovarianceMatrixType
typedef Superclass::FeatureImageType	FeatureImageType
typedef ThresholdFunctionType::MeanVectorType	MeanVectorType
typedef Superclass::OutputImageType	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef ThresholdFunctionType::ScalarValueType	ScalarValueType
typedef VectorThresholdSegmentationLevelSetImageFilter	Self
typedef SegmentationLevelSetImageFilter < TInputImage, TFeatureImage, TOutputPixelType >	Superclass
typedef ThresholdFunctionType::Pointer	ThresholdFunctionPointer
typedef VectorThresholdSegmentationLevelSetFunction < OutputImageType, FeatureImageType >	ThresholdFunctionType
typedef Superclass::ValueType	ValueType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const CovarianceMatrixType &	GetCovariance () const
const MeanVectorType &	GetMean () const
virtual const char *	GetNameOfClass () const
ScalarValueType	GetThreshold ()
void	SetCovariance (const CovarianceMatrixType &cov)

void	SetMean (const MeanVectorType &mean)

void	SetThreshold (ScalarValueType thr)
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
void	operator= (const Self &)
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	VectorThresholdSegmentationLevelSetImageFilter (const Self &)
	VectorThresholdSegmentationLevelSetImageFilter ()
	~VectorThresholdSegmentationLevelSetImageFilter ()
Private Attributes
ThresholdFunctionPointer	m_ThresholdFunction

Detailed Description

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

Segments structures in images based on intensity values.

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

CREDITS: This class was contributed to ITK by Stefan Lindenau http://www.itk.org/pipermail/insight-users/2003-December/005969.html

OVERVIEW: This class is a level set method segmentation filter. It constructs a speed function which is close to zero where the Mahalabonian Distance exceeds a certain threshold, 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 the feature image has to be a Vector Image. 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.

: See SegmentationLevelSetImageFilter for more information on Inputs.

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 Threshold, the Mean and the Covariance. See VectorThresholdSegmentationLevelSetFunction for a description of how this value affect the segmentation.

See also:: SegmentationLevelSetImageFilter; ThresholdSegmentationLevelSetFunction,; SparseFieldLevelSetImageFilter

Definition at line 91 of file itkVectorThresholdSegmentationLevelSetImageFilter.h.