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

#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.

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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.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::FeatureImageType	FeatureImageType
typedef Superclass::IndexType	IndexType
typedef Superclass::InputImageType	InputImageType
typedef Superclass::OutputImageType	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef SegmentationLevelSetFunction< OutputImageType, FeatureImageType >	SegmentationFunctionType
typedef ThresholdSegmentationLevelSetImageFilter	Self
typedef SegmentationFunctionType::ImageType	SpeedImageType
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >	Superclass
typedef ThresholdFunctionType::Pointer	ThresholdFunctionPointer
typedef ThresholdSegmentationLevelSetFunction< OutputImageType, FeatureImageType >	ThresholdFunctionType
typedef Superclass::TimeStepType	TimeStepType
typedef Superclass::ValueType	ValueType
typedef SegmentationFunctionType::VectorImageType	VectorImageType
Public Member Functions
virtual void	AutoGenerateSpeedAdvectionOff ()
virtual void	AutoGenerateSpeedAdvectionOn ()
Set Get the weight applied to the	edge (Laplacian) attractor in the speed *term function.Zero will turn this term off.*/void SetEdgeWeight(ValueType v)
Turn On Off the flag which determines whether Positive or Negative speed *terms will cause surface expansion If set to TRUE then negative speed *terms will cause the surface to expand and positive speed terms will cause *the surface to contract If set to	FALSE (default) then positive speed terms will *cause the surface to expand and negative speed terms will cause the *surface to contract.This method can be safely used to reverse the *expansion/contraction as appropriate to a particular application or data *set.*/virtual void SetReverseExpansionDirection(bool _arg)
void	GenerateAdvectionImage ()
void	GenerateSpeedImage ()
virtual const VectorImageType *	GetAdvectionImage () const
ValueType	GetAdvectionScaling () const
virtual bool	GetAutoGenerateSpeedAdvection ()
ValueType	GetCurvatureScaling () const
ValueType	GetEdgeWeight () const
virtual FeatureImageType *	GetFeatureImage ()
Set Get the feature image to be used for speed function of the level set *equation Equivalent to calling Set	GetInput (1,..)*/virtual void SetFeatureImage(const FeatureImageType *f)
ValueType	GetLowerThreshold () const
double	GetMaximumCurvatureTimeStep () const
unsigned int	GetMaximumIterations ()
double	GetMaximumPropagationTimeStep () const
virtual const char *	GetNameOfClass () const
ValueType	GetPropagationScaling () const
virtual bool	GetReverseExpansionDirection ()
virtual SegmentationFunctionType *	GetSegmentationFunction ()
ValueType	GetSmoothingConductance () const
int	GetSmoothingIterations () const
ValueType	GetSmoothingTimeStep () const
virtual const SpeedImageType *	GetSpeedImage () const
ValueType	GetUpperThreshold () const
bool	GetUseMinimalCurvature () const
bool	GetUseNegativeFeatures () const
	itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
Anisotropic diffusion is applied to the FeatureImage before calculatign *the	Laplacian (edge) term.This method sets/gets the smoothing *conductance.*/void SetSmoothingConductance(ValueType v)
Anisotropic diffusion is applied to the FeatureImage before calculating *the	Laplacian (edge) term.This method sets/gets the diffusion time *step.*/void SetSmoothingTimeStep(ValueType v)
Anisotropic diffusion is applied to the FeatureImage before calculating *the	Laplacian (edge) term.This method sets/gets the number of diffusion *iterations.*/void SetSmoothingIterations(int v)
virtual void	ReverseExpansionDirectionOff ()
virtual void	ReverseExpansionDirectionOn ()
void	SetAdvectionImage (VectorImageType *v)
Set Get the scaling of the advection field Setting the FeatureScaling parameter will override any existing value for AdvectionScaling *void	SetAdvectionScaling (ValueType v)
Combined scaling of the propagation and advection speed terms You should use either this or Get SetPropagationScaling and Get	SetAdvectionScaling (if appropriate).See subclasses for details on when and whether to set these parameters.*/void SetFeatureScaling(ValueType v)
Set Get the scaling of the curvature Use this parameter to increase the influence of curvature on the movement of the surface Higher values relative to Advection and Propagation values will give smoother surfaces *void	SetCurvatureScaling (ValueType v)
virtual void	SetInitialImage (InputImageType *f)
void	SetLowerThreshold (ValueType v)
Set Get the maximum constraint for the curvature term factor in the time step *calculation Changing this value from the default is not recommended or *necessary but could be used to speed up the surface evolution at the risk *of creating an unstable solution *void	SetMaximumCurvatureTimeStep (double n)
Set Get the maximum number of iterations allowed for the solver This *prevents infinite loops if a solution bounces *void	SetMaximumIterations (unsigned int i)
Set Get the maximum constraint for the scalar vector term factor of the time step *calculation Changing this value from the default is not recommended or *necessary but could be used to speed up the surface evolution at the risk *of creating an unstable solution *void	SetMaximumPropagationTimeStep (double n)
Set Get the scaling of the propagation speed Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling *void	SetPropagationScaling (ValueType v)
virtual void	SetSegmentationFunction (SegmentationFunctionType *s)
void	SetSpeedImage (SpeedImageType *s)
Get Set the threshold values that will be used to calculate the speed function *void	SetUpperThreshold (ValueType v)
*void	SetUseMinimalCurvature (bool b)
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED Set Get the value of the UseNegativeFeatures flag This method is *deprecated Use Set Get ReverseExpansionDirection instead *void	SetUseNegativeFeatures (bool u)
void	SetUseNegativeFeaturesOff ()
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses *the speed function effectively changing inside feature values to *outside feature values and vice versa *void	SetUseNegativeFeaturesOn ()
void	UseMinimalCurvatureOff ()
void	UseMinimalCurvatureOn ()
Static Public Member Functions
static Pointer	New ()
Public Attributes
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses *the speed function	direction
Turn On Off automatic generation of Speed and Advection terms when Update is called If set to	Off
Protected Member Functions
void	GenerateData ()
Overrides parent implementation *virtual void	InitializeIteration ()
void	operator= (const Self &)
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	ThresholdSegmentationLevelSetImageFilter (const Self &)
	ThresholdSegmentationLevelSetImageFilter ()
	~ThresholdSegmentationLevelSetImageFilter ()
Protected Attributes
bool	m_AutoGenerateSpeedAdvection
bool	m_ReverseExpansionDirection

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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::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::IndexType [inherited]

Definition at line 167 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageType [inherited]

Definition at line 169 of file itkSegmentationLevelSetImageFilter.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 SegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationFunctionType [inherited]

The generic level set function type Definition at line 176 of file itkSegmentationLevelSetImageFilter.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.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SegmentationFunctionType::ImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SpeedImageType [inherited]

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 180 of file itkSegmentationLevelSetImageFilter.h.

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.

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::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::TimeStepType [inherited]

Definition at line 168 of file itkSegmentationLevelSetImageFilter.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.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> typedef SegmentationFunctionType::VectorImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::VectorImageType [inherited]

The type used for the advection field Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 179 of file itkSegmentationLevelSetImageFilter.h.

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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.

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> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOff (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOn (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the weight applied to the itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::edge (  Laplacian   )  [inline]

Definition at line 130 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Turn On Off the flag which determines whether Positive or Negative speed* terms will cause surface expansion If set to TRUE then negative speed* terms will cause the surface to expand and positive speed terms will cause* the surface to contract If set to itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FALSE (  default   )  [inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateAdvectionImage (   )  [inherited]

Allocate and calculate the advection term image in the SegmentationFunction object This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData (   )  [protected, inherited]

Overridden from ProcessObject to set certain values before starting the finite difference solver and then create an appropriate output Reimplemented in itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateSpeedImage (   )  [inherited]

Allocate and calculate the speed term image in the SegmentationFunction object. This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual const VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage (   )  const [inline, virtual, inherited]

Return a pointer to the image sampled as the advection term of the segmentation algorithm. Definition at line 236 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling (   )  const [inline, inherited]

Definition at line 348 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAutoGenerateSpeedAdvection (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling (   )  const [inline, inherited]

Definition at line 365 of file itkSegmentationLevelSetImageFilter.h.

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

Definition at line 137 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage (   )  [inline, virtual, inherited]

Definition at line 206 of file itkSegmentationLevelSetImageFilter.h. References itk::fem::this.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the feature image to be used for speed function of the level set* equation Equivalent to calling Set itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetInput (  1  , ..  )  const [inline, inherited]

Definition at line 200 of file itkSegmentationLevelSetImageFilter.h.

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

Definition at line 124 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep (   )  const [inline, inherited]

Definition at line 429 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumIterations (   )  [inline, inherited]

Definition at line 192 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep (   )  const [inline, inherited]

Definition at line 447 of file itkSegmentationLevelSetImageFilter.h.

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::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling (   )  const [inline, inherited]

Definition at line 332 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetReverseExpansionDirection (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction (   )  [inline, virtual, inherited]

Definition at line 413 of file itkSegmentationLevelSetImageFilter.h.

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

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]

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]

Definition at line 165 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual const SpeedImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage (   )  const [inline, virtual, inherited]

Return a pointer to the image sampled as the speed term of the segmentation algorithm. Definition at line 231 of file itkSegmentationLevelSetImageFilter.h.

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

Definition at line 120 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature (   )  const [inline, inherited]

Definition at line 381 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures (   )  const [inline, inherited]

Definition at line 268 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Overrides parent implementation* virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration (   )  [inline, protected, virtual, inherited]

Reimplemented in itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >. Definition at line 479 of file itkSegmentationLevelSetImageFilter.h. References itk::fem::this.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::itkStaticConstMacro (  InputImageDimension  , unsigned  int, TInputImage::ImageDimension  )  [inherited]

Repeat definition from Superclass to satisfy Borland compiler quirks

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Anisotropic diffusion is applied to the FeatureImage before calculatign* the itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Laplacian (  edge   )  [inline]

Definition at line 172 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Anisotropic diffusion is applied to the FeatureImage before calculating* the itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Laplacian (  edge   )  [inline]

Definition at line 158 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Anisotropic diffusion is applied to the FeatureImage before calculating* the itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Laplacian (  edge   )  [inline]

Definition at line 144 of file itkThresholdSegmentationLevelSetImageFilter.h.

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

Method for creation through the object factory

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

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

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOff (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn (   )  [virtual, inherited]

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage (  VectorImageType *  v  )  [inline, inherited]

This function is for advanced applications. Set the image sampled as the advection term of this segmentation method. In general, the advection image is generated automatically by a subclass of this filter. Definition at line 226 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the scaling of the advection field Setting the FeatureScaling parameter will override any existing value for AdvectionScaling* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling (  ValueType  v  )  [inline, inherited]

Definition at line 340 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Combined scaling of the propagation and advection speed terms You should use either this or Get SetPropagationScaling and Get itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling (  if  appropriate  )  [inline, inherited]

Definition at line 307 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the scaling of the curvature Use this parameter to increase the influence of curvature on the movement of the surface Higher values relative to Advection and Propagation values will give smoother surfaces* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling (  ValueType  v  )  [inline, inherited]

Definition at line 357 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInitialImage (  InputImageType *  f  )  [inline, virtual, inherited]

Set/Get the initial level set model. Equivalent to calling SetInput(..) Definition at line 212 of file itkSegmentationLevelSetImageFilter.h.

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

Definition at line 115 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the maximum constraint for the curvature term factor in the time step* calculation Changing this value from the default is not recommended or* necessary but could be used to speed up the surface evolution at the risk* of creating an unstable solution* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep (  double  n  )  [inline, inherited]

Definition at line 421 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the maximum number of iterations allowed for the solver This* prevents infinite loops if a solution bounces* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumIterations (  unsigned int  i  )  [inline, inherited]

Definition at line 187 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the maximum constraint for the scalar vector term factor of the time step* calculation Changing this value from the default is not recommended or* necessary but could be used to speed up the surface evolution at the risk* of creating an unstable solution* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep (  double  n  )  [inline, inherited]

Definition at line 439 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Set Get the scaling of the propagation speed Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling (  ValueType  v  )  [inline, inherited]

Definition at line 324 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction (  SegmentationFunctionType *  s  )  [inline, virtual, inherited]

Set the segmentation function. In general, this should only be called by a subclass of this object. It is made public to allow itk::Command objects access. The method is inline to avoid a problem with the gcc 2.95 compiler matching the declaration with the definition. Definition at line 401 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage (  SpeedImageType *  s  )  [inline, inherited]

This function is for advanced applications. Set the image sampled as the speed term of this segmentation method. In general, the speed image is generated automatically by a subclass of this filter. Definition at line 220 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Get Set the threshold values that will be used to calculate the speed function* void itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUpperThreshold (  ValueType  v  )  [inline]

Definition at line 110 of file itkThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> * void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature (  bool  b  )  [inline, inherited]

Definition at line 373 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED Set Get the value of the UseNegativeFeatures flag This method is* deprecated Use Set Get ReverseExpansionDirection instead* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures (  bool  u  )  [inline, inherited]

Definition at line 256 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff (   )  [inline, inherited]

Definition at line 247 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses* the speed function effectively changing inside feature values to* outside feature values and vice versa* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn (   )  [inline, inherited]

Definition at line 242 of file itkSegmentationLevelSetImageFilter.h. References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOff (   )  [inline, inherited]

Definition at line 389 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOn (   )  [inline, inherited]

Definition at line 385 of file itkSegmentationLevelSetImageFilter.h.

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Member Data Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses* the speed function itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::direction [inherited]

Definition at line 240 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_AutoGenerateSpeedAdvection [protected, inherited]

Flag to indicate whether Speed and Advection images are automatically generated when running the filter. Otherwise, a pointer to images must be explicitly set or GenerateSpeedImage() and/or GenerateAdvectionImage() called directly before updating the filter Definition at line 500 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ReverseExpansionDirection [protected, inherited]

Flag which sets the inward/outward direction of propagation speed. See SetReverseExpansionDirection for more information. Definition at line 494 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float> Turn On Off automatic generation of Speed and Advection terms when Update is called If set to itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Off [inherited]

Definition at line 292 of file itkSegmentationLevelSetImageFilter.h.

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

• itkThresholdSegmentationLevelSetImageFilter.h

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