ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes
itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

#include <itkShapeDetectionLevelSetImageFilter.h>

+ Inheritance diagram for itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:
+ Collaboration diagram for itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::FeatureImageType 
FeatureImageType
typedef Superclass::OutputImageType OutputImageType
typedef SmartPointer< SelfPointer
typedef
ShapeDetectionLevelSetImageFilter 
Self
typedef
ShapeDetectionFunctionType::Pointer 
ShapeDetectionFunctionPointer
typedef
ShapeDetectionLevelSetFunction
< OutputImageType,
FeatureImageType
ShapeDetectionFunctionType
typedef
SegmentationLevelSetImageFilter
< TInputImage, TFeatureImage,
TOutputPixelType > 
Superclass
typedef Superclass::ValueType ValueType

Public Member Functions

virtual const char * GetNameOfClass () const

Protected Member Functions

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

Private Attributes

ShapeDetectionFunctionPointer m_ShapeDetectionFunction
virtual ::itk::LightObject::Pointer CreateAnother (void) const
static Pointer New ()
 ~ShapeDetectionLevelSetImageFilter ()
 ShapeDetectionLevelSetImageFilter ()

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 108 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
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::FeatureImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::OutputImageType itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SmartPointer< Self > itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ShapeDetectionLevelSetImageFilter itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ShapeDetectionFunctionType::Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ShapeDetectionFunctionPointer

Definition at line 127 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 126 of file itkShapeDetectionLevelSetImageFilter.h.

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

Inherited typedef from the superclass.

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

Definition at line 120 of file itkShapeDetectionLevelSetImageFilter.h.


Constructor & Destructor Documentation

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

Method for creation through the object factory

Definition at line 135 of file itkShapeDetectionLevelSetImageFilter.h.

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

Method for creation through the object factory

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

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

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

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual const char* itk::ShapeDetectionLevelSetImageFilter< 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>
static Pointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New ( ) [static]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::operator= ( const Self ) [protected]

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

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

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

Member Data Documentation

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
ShapeDetectionFunctionPointer itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ShapeDetectionFunction [private]

Definition at line 149 of file itkShapeDetectionLevelSetImageFilter.h.


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