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

#include <itkVectorThresholdSegmentationLevelSetImageFilter.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
ThresholdFunctionType::CovarianceMatrixType 
CovarianceMatrixType
typedef
Superclass::FeatureImageType 
FeatureImageType
typedef
ThresholdFunctionType::MeanVectorType 
MeanVectorType
typedef Superclass::OutputImageType OutputImageType
typedef SmartPointer< SelfPointer
typedef
ThresholdFunctionType::ScalarValueType 
ScalarValueType
typedef
VectorThresholdSegmentationLevelSetImageFilter 
Self
typedef
SegmentationLevelSetImageFilter
< TInputImage, TFeatureImage,
TOutputPixelType > 
Superclass
typedef
ThresholdFunctionType::Pointer 
ThresholdFunctionPointer
typedef
VectorThresholdSegmentationLevelSetFunction
< OutputImageType,
FeatureImageType
ThresholdFunctionType
typedef Superclass::ValueType ValueType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
const CovarianceMatrixTypeGetCovariance () const
const MeanVectorTypeGetMean () const
virtual const char * GetNameOfClass () const
ScalarValueType GetThreshold ()
void SetCovariance (const CovarianceMatrixType &cov)
void SetMean (const MeanVectorType &mean)
void SetThreshold (ScalarValueType thr)

Static Public Member Functions

static Pointer New ()

Protected Member Functions

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

Private Attributes

ThresholdFunctionPointer m_ThresholdFunction

Detailed Description

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

Segments structures in images based on intensity values.

IMPORTANT
The SegmentationLevelSetImageFilter class and the VectorThresholdSegmentationLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.
CREDITS
This class was contributed to ITK by Stefan Lindenau http://www.itk.org/pipermail/insight-users/2003-December/005969.html
OVERVIEW
This class is a level set method segmentation filter. It constructs a speed function which is close to zero where the Mahalabonian Distance exceeds a certain threshold, 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 the feature image has to be a Vector Image. 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 Threshold, the Mean and the Covariance. See VectorThresholdSegmentationLevelSetFunction for a description of how this value affect the segmentation.
See also:
SegmentationLevelSetImageFilter
ThresholdSegmentationLevelSetFunction,
SparseFieldLevelSetImageFilter

Definition at line 91 of file itkVectorThresholdSegmentationLevelSetImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SmartPointer< const Self > itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ThresholdFunctionType::CovarianceMatrixType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CovarianceMatrixType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::FeatureImageType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ThresholdFunctionType::MeanVectorType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::MeanVectorType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef Superclass::OutputImageType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SmartPointer< Self > itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ThresholdFunctionType::ScalarValueType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ScalarValueType
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef VectorThresholdSegmentationLevelSetImageFilter itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef ThresholdFunctionType::Pointer itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionPointer
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
typedef VectorThresholdSegmentationLevelSetFunction< OutputImageType, FeatureImageType > itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ThresholdFunctionType

Type of the segmentation function

Definition at line 107 of file itkVectorThresholdSegmentationLevelSetImageFilter.h.

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

Constructor & Destructor Documentation

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

Member Function Documentation

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

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
const CovarianceMatrixType& itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCovariance ( ) const [inline]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
const MeanVectorType& itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMean ( ) const [inline]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
virtual const char* itk::VectorThresholdSegmentationLevelSetImageFilter< 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>
ScalarValueType itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetThreshold ( ) [inline]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
static Pointer itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New ( ) [static]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::VectorThresholdSegmentationLevelSetImageFilter< 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::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCovariance ( const CovarianceMatrixType cov) [inline]
template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMean ( const MeanVectorType mean) [inline]

Set/Get mean and covariance that will be used to calculate the speed function

Definition at line 121 of file itkVectorThresholdSegmentationLevelSetImageFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
void itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetThreshold ( ScalarValueType  thr) [inline]

Set/Get the threshold for the Mahanalobis Distance

Definition at line 145 of file itkVectorThresholdSegmentationLevelSetImageFilter.h.


Member Data Documentation

template<class TInputImage , class TFeatureImage , class TOutputPixelType = float>
ThresholdFunctionPointer itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ThresholdFunction [private]

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