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itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage > Class Template Reference

A base class which defines the API for implementing a special class of image segmentation filters using level set methods. More...

#include <itkSegmentationLevelSetImageFilter.h>

Inheritance diagram for itk::SegmentationLevelSetImageFilter:

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Collaboration diagram for itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >:

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List of all members.

Public Types

typedef SegmentationLevelSetImageFilter Self
typedef SparseFieldLevelSetImageFilter<
TInputImage, TOutputImage > 
Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const
Self
ConstPointer
typedef Superclass::ValueType ValueType
typedef Superclass::IndexType IndexType
typedef Superclass::TimeStepType TimeStepType
typedef Superclass::InputImageType InputImageType
typedef TOutputImage OutputImageType
typedef TFeatureImage FeatureImageType
typedef SegmentationLevelSetFunction<
OutputImageType, FeatureImageType
SegmentationFunctionType
typedef SegmentationFunctionType::VectorImageType VectorImageType

Public Methods

virtual const char * GetClassName () const
virtual void SetInitialImage (InputImageType *f)
virtual SegmentationFunctionType::ImageType * GetSpeedImage () const
virtual SegmentationFunctionType::VectorImageType * GetAdvectionImage () const
virtual void SetMaximumRMSError (ValueType _arg)
virtual ValueType GetMaximumRMSError ()
virtual void SetMaximumIterations (unsigned int _arg)
virtual unsigned int GetMaximumIterations ()
virtual void SetFeatureImage (FeatureImageType *f)
virtual FeatureImageTypeGetFeatureImage ()
void SetUseNegativeFeaturesOn ()
void SetUseNegativeFeaturesOff ()
virtual void SetUseNegativeFeatures (bool _arg)
virtual bool GetUseNegativeFeatures ()
void SetFeatureScaling (ValueType v)
virtual void SetPropagationScaling (ValueType _arg)
virtual ValueType GetPropagationScaling ()
virtual void SetAdvectionScaling (ValueType _arg)
virtual ValueType GetAdvectionScaling ()
virtual void SetCurvatureScaling (ValueType _arg)
virtual ValueType GetCurvatureScaling ()
virtual void SetSegmentationFunction (SegmentationFunctionType *s)
virtual SegmentationFunctionTypeGetSegmentationFunction ()

Protected Methods

virtual ~SegmentationLevelSetImageFilter ()
 SegmentationLevelSetImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
void GenerateData ()
bool Halt ()
virtual void InitializeIteration ()

Protected Attributes

bool m_UseNegativeFeatures
ValueType m_CurvatureScaling
ValueType m_PropagationScaling
ValueType m_AdvectionScaling

Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
class itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >

A base class which defines the API for implementing a special class of image segmentation filters using level set methods.

OVERVIEW
This object defines the framework for a class of segmentation filters which use level set methods. These filters work by constructing a ``feature image'' onto which the evolving level set locks as it moves. In the feature image, values that are close to zero are associated with object boundaries. An original (or preprocessed) image is given to the filter as the feature image and a seed for the level set is given as the input of the filter. The seed is converted into a level set embedding which propagates according to the features calculated from the original image.
TEMPLATE PARAMETERS
There are two required and two optional template parameter for these filters. Of the optional parameters, the last, TOutputImage, should not be changed from its default. It is only there to instantiate the parent class correctly.
TInputImage is the image type of the initial model you will input to the filter using SetInput() or SetInitialImage().

TFeatureImage is the image type of the image from which the filter will calculate the speed term for segmentation (see INPUTS).

TOutputPixelType is the data type used for the output image phi, the implicit level set image. This should really only ever be set as float (default) or double.

INPUTS
The input to any subclass of this filter is the seed image for the initial level set embedding. As with other subclasses of the SparseLevelSetImageFilter, the type of the input image is is not important. The (RequestedRegion) size of the seed image must, however, match the (RequestedRegion) size of the feature image.
You must identify the initial front (surface) in the input image. You do this by specifying its isovalue through the method SetIsoSurfaceValue(float f). The algorithm will then initialize its solution using the front represented by value f. Note that the front is always represented by isosurface zero in the output and not the isosurface you specified for the input. This is because, for simplicity, the filter will shift your input image so that the active front has zero values.

Depending on the particular application and filter that you are using, the feature image should be preprocessed with some type of noise reduction filtering. The feature image input can be of any type, but it will be cast to floating point before calculations are done.

OUTPUTS
The output of any subclass of this filter is a level set embedding as described in SparseFieldLevelSetImageFilter. The zero crossings of the output image give the pixels closest to the level set boundary. By ITK convention, positive values are pixels inside the segmented region and negative values are pixels outside the segmented region.
PARAMETERS
The MaximumRMSChange parameter is used to determine when the solution has converged. A lower value will result in a tighter-fitting solution, but will require more computations. Too low a value could put the solver into an infinite loop unless a reasonable MaximumIterations parameter is set. Values should always be greater than 0.0 and less than 1.0.

The MaximumIterations parameter can be used to halt the solution after a specified number of iterations, overriding the MaximumRMSChange halting criteria.

The UseNegativeFeatures parameter tells the function object to reverse the sign of the feature image, resulting in surface movement in the opposite direction.

The FeatureScaling parameter controls the magnitude of the features calculated for use in the level set propagation and advection speeds. This value simply sets both parameters to equal values at once. Some filters may only use on of these two terms and this method is a generic way to set either or both without having to know which is in use.

The CurvatureScaling parameter controls the magnitude of the curvature values which are calculated on the evolving isophote. This is important in controlling the relative effect of curvature in the calculation. Default value is 1.0. Higher values relative to the other level set equation terms (propagation and advection) will give a smoother result.

The PropagationScaling parameter controls the scaling of the scalar propagation (speed) term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.

The AdvectionScaling parameter controls the scaling of the vector advection field term relative to other terms in the level set equation. Setting this value will override any value already set by FeatureScaling.

See LevelSetFunction for more information.

Definition at line 137 of file itkSegmentationLevelSetImageFilter.h.


Member Typedef Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SmartPointer<const Self> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::ConstPointer
 

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 146 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef TFeatureImage itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::FeatureImageType
 

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 156 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef Superclass::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::IndexType
 

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

Definition at line 150 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::InputImageType
 

Information derived from the image types.

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

Definition at line 152 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef TOutputImage itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::OutputImageType
 

Local image typedefs

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 155 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SmartPointer<Self> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::Pointer
 

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 145 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SegmentationFunctionType
 

The generic level set function type

Definition at line 160 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SegmentationLevelSetImageFilter itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::Self
 

Standard class typedefs

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 143 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SparseFieldLevelSetImageFilter<TInputImage, TOutputImage> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::Superclass
 

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 144 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef Superclass::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::TimeStepType
 

Typedefs from the superclass

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

Definition at line 151 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef Superclass::ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::ValueType
 

Inherited typedef from the superclass.

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 149 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
typedef SegmentationFunctionType::VectorImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::VectorImageType
 

The type used for the advection field

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 163 of file itkSegmentationLevelSetImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::~SegmentationLevelSetImageFilter   [inline, protected, virtual]
 

Definition at line 262 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SegmentationLevelSetImageFilter   [protected]
 


Member Function Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GenerateData   [protected, virtual]
 

Overridden from ProcessObject to set certain values before starting the finite difference solver and then create an appropriate output

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

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual SegmentationFunctionType::VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetAdvectionImage   const [inline, virtual]
 

Definition at line 201 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetAdvectionScaling   [virtual]
 

Set/Get the scaling of the advection field. Setting the FeatureScaling parameter will override any existing value for AdvectionScaling.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual const char* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetClassName   const [virtual]
 

Run-time type information (and related methods).

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

Reimplemented in itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetCurvatureScaling   [virtual]
 

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.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetFeatureImage   [inline, virtual]
 

Set/Get the feature image to be used for speed function of the level set equation. Equivalent to calling Set/GetInput(1, ..)

Definition at line 187 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetMaximumIterations   [virtual]
 

Set/Get the maximum number of iterations allowed for the solver. This prevents infinite loops if a solution "bounces".

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetMaximumRMSError   [virtual]
 

Set/Get the maximum RMS error allowed for the solution. The solver will halt once this threshold has been reached.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetPropagationScaling   [virtual]
 

Set/Get the scaling of the propagation speed. Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetSegmentationFunction   [inline, virtual]
 

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.

Definition at line 257 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual SegmentationFunctionType::ImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetSpeedImage   const [inline, virtual]
 

Definition at line 198 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::GetUseNegativeFeatures   [virtual]
 

Set/Get the value of the UseNegativeFeatures flag. This flag controls whether (true) or not (false) the direction of the speed function is reversed. By default, level set segmentation filters take ``inside'' values as positive, and ``outside'' values as negative.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::Halt   [protected, virtual]
 

Tells the solver when the solution has converged within the specified parameters.

Implements itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::InitializeIteration   [inline, protected, virtual]
 

Overrides parent implementation

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

Definition at line 268 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::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::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >.

Reimplemented in itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetAdvectionScaling ValueType    _arg [virtual]
 

Set/Get the scaling of the advection field. Setting the FeatureScaling parameter will override any existing value for AdvectionScaling.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetCurvatureScaling ValueType    _arg [virtual]
 

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.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetFeatureImage FeatureImageType   f [inline, virtual]
 

Set/Get the feature image to be used for speed function of the level set equation. Equivalent to calling Set/GetInput(1, ..)

Definition at line 182 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetFeatureScaling ValueType    v [inline]
 

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.

Definition at line 228 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetInitialImage InputImageType   f [inline, virtual]
 

Set/Get the initial level set model. Equivalent to calling SetInput(..)

Definition at line 193 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetMaximumIterations unsigned int    _arg [virtual]
 

Set/Get the maximum number of iterations allowed for the solver. This prevents infinite loops if a solution "bounces".

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetMaximumRMSError ValueType    _arg [virtual]
 

Set/Get the maximum RMS error allowed for the solution. The solver will halt once this threshold has been reached.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetPropagationScaling ValueType    _arg [virtual]
 

Set/Get the scaling of the propagation speed. Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetSegmentationFunction SegmentationFunctionType   s [virtual]
 

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.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetUseNegativeFeatures bool    _arg [virtual]
 

Set/Get the value of the UseNegativeFeatures flag. This flag controls whether (true) or not (false) the direction of the speed function is reversed. By default, level set segmentation filters take ``inside'' values as positive, and ``outside'' values as negative.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetUseNegativeFeaturesOff   [inline]
 

This method reverses the speed function direction, effectively changing inside feature values to outside feature values and vice versa

Definition at line 210 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::SetUseNegativeFeaturesOn   [inline]
 

This method reverses the speed function direction, effectively changing inside feature values to outside feature values and vice versa

Definition at line 206 of file itkSegmentationLevelSetImageFilter.h.


Member Data Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::m_AdvectionScaling [protected]
 

Scalar parameter for curvature.

Definition at line 295 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::m_CurvatureScaling [protected]
 

Scalar parameter for curvature.

Definition at line 289 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::m_PropagationScaling [protected]
 

Scalar parameter for curvature.

Definition at line 292 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float, class TOutputImage = Image<TOutputPixelType, ::itk::GetImageDimension<TInputImage>::ImageDimension>>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >::m_UseNegativeFeatures [protected]
 

Flag which sets the inward/outward direction of positive propagation speed.

Definition at line 286 of file itkSegmentationLevelSetImageFilter.h.


The documentation for this class was generated from the following file:
Generated at Fri May 21 01:48:13 2004 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000