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itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage > Class Template Reference

Segments structures in images based on a second derivative image features. More...

#include <itkLaplacianSegmentationLevelSetImageFilter.h>

Inheritance diagram for itk::LaplacianSegmentationLevelSetImageFilter:

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Collaboration diagram for itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >:

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List of all members.

Public Types

typedef LaplacianSegmentationLevelSetImageFilter Self
typedef SegmentationLevelSetImageFilter<
TInputImage, TOutputImage > 
Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const
Self
ConstPointer
typedef Superclass::ValueType ValueType
typedef LaplacianSegmentationLevelSetFunction<
TOutputImage > 
LaplacianFunctionType

Public Methods

virtual const char * GetClassName () const

Static Public Methods

Pointer New ()

Protected Methods

 ~LaplacianSegmentationLevelSetImageFilter ()
 LaplacianSegmentationLevelSetImageFilter ()
virtual void PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >

Segments structures in images based on a second derivative image features.

IMPORTANT
The SegmentationLevelSetImageFilter class and the LaplacianSegmentationLevelSetFunction 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 zero at image edges as detected by a Laplacian filter. The evolving level set front will therefore tend to lock onto zero crossings in the image. The level set front moves fastest near edges.

The Laplacian segmentation filter is intended primarily as a tool for refining existing segmentations. The initial isosurface (as given in the seed input image) should ideally be very close to the segmentation boundary of interest. The idea is that a rough segmentation can be refined by allowing the isosurface to deform slightly to achieve a better fit to the edge features of an image. One example of such an application is to refine the output of a hand segmented image.

Because values in the Laplacian feature image will tend to be low except near edge features, this filter is not effective for segmenting large image regions from small seed surfaces.

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. Because second derivative calculations are highly sensitive to noise, isotropic or anisotropic smoothing of the feature image can dramatically improve the results.

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
This filter has no parameters other than those described in SegmentationLevelSetImageFilter.
See also:
SegmentationLevelSetImageFilter , LaplacianSegmentationLevelSetFunction, , SparseFieldLevelSetImageFilter

Definition at line 99 of file itkLaplacianSegmentationLevelSetImageFilter.h.


Member Typedef Documentation

template<class TInputImage, class TOutputImage>
typedef SmartPointer<const Self> itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::ConstPointer
 

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

Definition at line 107 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LaplacianSegmentationLevelSetFunction<TOutputImage> itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::LaplacianFunctionType
 

Type of the segmentation function

Definition at line 113 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef SmartPointer<Self> itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::Pointer
 

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

Definition at line 106 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef LaplacianSegmentationLevelSetImageFilter itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::Self
 

Standard class typedefs

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

Definition at line 104 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef SegmentationLevelSetImageFilter<TInputImage, TOutputImage> itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::Superclass
 

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

Definition at line 105 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef Superclass::ValueType itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::ValueType
 

Inherited typedef from the superclass.

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

Definition at line 110 of file itkLaplacianSegmentationLevelSetImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage>
itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::~LaplacianSegmentationLevelSetImageFilter   [inline, protected]
 

Definition at line 122 of file itkLaplacianSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TOutputImage>
itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::LaplacianSegmentationLevelSetImageFilter   [protected]
 


Member Function Documentation

template<class TInputImage, class TOutputImage>
virtual const char* itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::GetClassName   const [virtual]
 

Run-time type information (and related methods).

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

template<class TInputImage, class TOutputImage>
Pointer itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TOutputImage >::New   [static]
 

Method for creation through the object factory

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

template<class TInputImage, class TOutputImage>
virtual void itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, 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::SegmentationLevelSetImageFilter< TInputImage, TOutputImage >.


The documentation for this class was generated from the following file:
Generated at Wed Mar 12 01:21:34 2003 for ITK by doxygen 1.2.15 written by Dimitri van Heesch, © 1997-2000