itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

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

#include <itkThresholdSegmentationLevelSetImageFilter.h>

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

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

[legend]List of all members.

Public Types
typedef ThresholdSegmentationLevelSetImageFilter	Self
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ValueType	ValueType
typedef Superclass::OutputImageType	OutputImageType
typedef Superclass::FeatureImageType	FeatureImageType
typedef ThresholdSegmentationLevelSetFunction< OutputImageType, FeatureImageType >	ThresholdFunctionType
typedef ThresholdFunctionType::Pointer	ThresholdFunctionPointer
Public Member Functions
virtual const char *	GetNameOfClass () const
void	SetUpperThreshold (ValueType v)
void	SetLowerThreshold (ValueType v)
ValueType	GetUpperThreshold () const
ValueType	GetLowerThreshold () const
void	SetEdgeWeight (ValueType v)
ValueType	GetEdgeWeight () const
void	SetSmoothingIterations (int v)
int	GetSmoothingIterations () const
void	SetSmoothingTimeStep (ValueType v)
ValueType	GetSmoothingTimeStep () const
void	SetSmoothingConductance (ValueType v)
ValueType	GetSmoothingConductance () const
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	~ThresholdSegmentationLevelSetImageFilter ()
	ThresholdSegmentationLevelSetImageFilter ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	ThresholdSegmentationLevelSetImageFilter (const Self &)
void	operator= (const Self &)

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Detailed Description

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

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.

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 UpperThreshold and LowerThreshold. See ThresholdSegmentationLevelSetFunction for a description of how these values affect the segmentation.

See also:

SegmentationLevelSetImageFilter

ThresholdSegmentationLevelSetFunction,

SparseFieldLevelSetImageFilter

Definition at line 83 of file itkThresholdSegmentationLevelSetImageFilter.h.

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Member Typedef Documentation

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

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 91 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Local image typedefs Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 96 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Output image type typedefs Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 95 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 90 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Standard class typedefs Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 88 of file itkThresholdSegmentationLevelSetImageFilter.h. Referenced by itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~ThresholdSegmentationLevelSetImageFilter().

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType > itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass

Standard class typedefs Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 89 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef ThresholdFunctionType::Pointer itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionPointer

Definition at line 101 of file itkThresholdSegmentationLevelSetImageFilter.h. Referenced by itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~ThresholdSegmentationLevelSetImageFilter().

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef ThresholdSegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionType

Type of the segmentation function Definition at line 100 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Inherited typedef from the superclass. Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 94 of file itkThresholdSegmentationLevelSetImageFilter.h. Referenced by itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetLowerThreshold(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUpperThreshold(), itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold(), and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold().

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Constructor & Destructor Documentation

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

Definition at line 186 of file itkThresholdSegmentationLevelSetImageFilter.h. References itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionPointer.

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

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

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Member Function Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetEdgeWeight (   )  const [inline]

Set/Get the weight applied to the edge (Laplacian) attractor in the speed term function. Zero will turn this term off. Definition at line 137 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetLowerThreshold (   )  const [inline]

Get/Set the threshold values that will be used to calculate the speed function. Definition at line 124 of file itkThresholdSegmentationLevelSetImageFilter.h. References itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType.

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

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

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingConductance (   )  const [inline]

Anisotropic diffusion is applied to the FeatureImage before calculatign the Laplacian (edge) term. This method sets/gets the smoothing conductance. Definition at line 179 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> int itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingIterations (   )  const [inline]

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the number of diffusion iterations. Definition at line 151 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSmoothingTimeStep (   )  const [inline]

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the diffusion time step. Definition at line 165 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUpperThreshold (   )  const [inline]

Get/Set the threshold values that will be used to calculate the speed function. Definition at line 120 of file itkThresholdSegmentationLevelSetImageFilter.h. References itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType.

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

Method for creation through the object factory Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >.

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

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >.

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

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetEdgeWeight (  ValueType  v  )  [inline]

Set/Get the weight applied to the edge (Laplacian) attractor in the speed term function. Zero will turn this term off. Definition at line 132 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetLowerThreshold (  ValueType  v  )  [inline]

Get/Set the threshold values that will be used to calculate the speed function. Definition at line 115 of file itkThresholdSegmentationLevelSetImageFilter.h. References itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingConductance (  ValueType  v  )  [inline]

Anisotropic diffusion is applied to the FeatureImage before calculatign the Laplacian (edge) term. This method sets/gets the smoothing conductance. Definition at line 174 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingIterations (  int  v  )  [inline]

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the number of diffusion iterations. Definition at line 146 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSmoothingTimeStep (  ValueType  v  )  [inline]

Anisotropic diffusion is applied to the FeatureImage before calculating the Laplacian (edge) term. This method sets/gets the diffusion time step. Definition at line 160 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold (  ValueType  v  )  [inline]

Get/Set the threshold values that will be used to calculate the speed function. Definition at line 110 of file itkThresholdSegmentationLevelSetImageFilter.h. References itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType.

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

• itkThresholdSegmentationLevelSetImageFilter.h

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