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itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference
[Level Set-Based Segmentation Filters]

Segments structures in images based on a user supplied edge potential map. More...

#include <itkShapeDetectionLevelSetImageFilter.h>

List of all members.

Public Types

typedef ShapeDetectionLevelSetImageFilter Self
typedef SegmentationLevelSetImageFilter<
TInputImage, TFeatureImage,
TOutputPixelType, Image<
TOutputPixelType,::itk::GetImageDimension<
TInputImage >::ImageDimension > > 		Superclass
typedef SmartPointer< Self > Pointer
typedef SmartPointer< const
Self > 		ConstPointer
typedef Superclass::ValueType ValueType
typedef Superclass::OutputImageType OutputImageType
typedef Superclass::FeatureImageType FeatureImageType
typedef ShapeDetectionLevelSetFunction<
OutputImageType, FeatureImageType > 		ShapeDetectionFunctionType
typedef ShapeDetectionFunctionType::Pointer ShapeDetectionFunctionPointer

Public Member Functions

virtual const char * GetClassName () const

Static Public Member Functions

Pointer New ()

Protected Member Functions

 ~ShapeDetectionLevelSetImageFilter ()
 ShapeDetectionLevelSetImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
 ShapeDetectionLevelSetImageFilter (const Self &)
void operator= (const Self &)
void GenerateData ()

Detailed Description

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

Segments structures in images based on a user supplied edge potential map.

IMPORTANT
The SegmentationLevelSetImageFilter class and the ShapeDetectionLevelSetFunction class contain additional information necessary to gain full understanding of how to use this filter.
OVERVIEW
This class is a level set method segmentation filter. An initial contour is propagated outwards (or inwards) until it ''sticks'' to the shape boundaries. This is done by using a level set speed function based on a user supplied edge potential map. This approach for segmentation follows that of Malladi et al (1995).
INPUTS
This filter requires two inputs. The first input is a initial level set. The initial level set is a real image which contains the initial contour/surface as the zero level set. For example, a signed distance function from the initial contour/surface is typically used. Note that for this algorithm the initial contour has to be wholly within (or wholly outside) the structure to be segmented.
The second input is the feature image. For this filter, this is the edge potential map. General characteristics of an edge potential map is that it has values close to zero in regions near the edges and values close to one inside the shape itself. Typically, the edge potential map is compute from the image gradient, for example:

\[ g(I) = 1 / ( 1 + | (\nabla * G)(I)| ) \]

\[ g(I) = \exp^{-|(\nabla * G)(I)|} \]

where $ I $ is image intensity and $ (\nabla * G) $ is the derivative of Gaussian operator.

See SegmentationLevelSetImageFilter and SparseFieldLevelSetImageFilter for more information on Inputs.
PARAMETERS
The PropagationScaling parameter can be used to switch from propagation outwards (POSITIVE scaling parameter) versus propagating inwards (NEGATIVE scaling parameter).
The smoothness of the resulting contour/surface can be adjusted using a combination of PropagationScaling and CurvatureScaling parameters. The larger the CurvatureScaling parameter, the smoother the resulting contour. The CurvatureScaling parameter should be non-negative for proper operation of this algorithm. To follow the implementation in Malladi et al paper, set the PropagtionScaling to $\pm 1.0$ and CurvatureScaling to $ \epsilon $.

Note that there is no advection term for this filter. Setting the advection scaling will have no effect.

OUTPUTS
The filter outputs a single, scalar, real-valued image. Negative values in the output image represent the inside of the segmentated region and positive values in the image represent the outside of the segmented region. The zero crossings of the image correspond to the position of the propagating front.
See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.
REFERENCES
"Shape Modeling with Front Propagation: A Level Set Approach", R. Malladi, J. A. Sethian and B. C. Vermuri. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol 17, No. 2, pp 158-174, February 1995
See also:
SegmentationLevelSetImageFilter

ShapeDetectionLevelSetFunction

SparseFieldLevelSetImageFilter

Definition at line 106 of file itkShapeDetectionLevelSetImageFilter.h.

Member Typedef Documentation

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

Definition at line 119 of file itkShapeDetectionLevelSetImageFilter.h.

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

Definition at line 124 of file itkShapeDetectionLevelSetImageFilter.h.

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

Definition at line 123 of file itkShapeDetectionLevelSetImageFilter.h.

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

Definition at line 118 of file itkShapeDetectionLevelSetImageFilter.h.

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

Standard class typedefs Definition at line 114 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef ShapeDetectionFunctionType::Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionPointer
 

Definition at line 129 of file itkShapeDetectionLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef ShapeDetectionLevelSetFunction<OutputImageType, FeatureImageType> itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionType
 

Type of the segmentation function Definition at line 128 of file itkShapeDetectionLevelSetImageFilter.h.

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

Definition at line 117 of file itkShapeDetectionLevelSetImageFilter.h.

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

Inherited typedef from the superclass. Definition at line 122 of file itkShapeDetectionLevelSetImageFilter.h.

Constructor & Destructor Documentation

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

Definition at line 138 of file itkShapeDetectionLevelSetImageFilter.h.

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

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

Member Function Documentation

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

Overridden from Superclass to handle the case when PropagationScaling is zero and CurvatureScaling is non-zero.

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

Run-time type information (and related methods).

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

Method for creation through the object factory

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

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

The documentation for this class was generated from the following file:
Generated at Sun Apr 1 02:51:26 2007 for ITK by doxygen 1.3.8 written by Dimitri van Heesch, © 1997-2000