ITK  4.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Protected Attributes
itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType > Class Template Reference

This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance. More...

#include <itkVectorThresholdSegmentationLevelSetFunction.h>

Inheritance diagram for itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:
Collaboration diagram for itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
MahalanobisFunctionType::CovarianceMatrixType 
CovarianceMatrixType
typedef FeatureImageType::PixelType FeatureImagePixelType
typedef TFeatureImageType FeatureImageType
typedef
Superclass::FeatureScalarType 
FeatureScalarType
typedef Superclass::ImageType ImageType
typedef
MahalanobisFunctionType::Pointer 
MahalanobisFunctionPointer
typedef
Statistics::MahalanobisDistanceMembershipFunction
< FeatureScalarType
MahalanobisFunctionType
typedef
MahalanobisFunctionType::MeanVectorType 
MeanVectorType
typedef SmartPointer< SelfPointer
typedef Superclass::RadiusType RadiusType
typedef Superclass::ScalarValueType ScalarValueType
typedef
VectorThresholdSegmentationLevelSetFunction 
Self
typedef
SegmentationLevelSetFunction
< TImageType,
TFeatureImageType > 
Superclass

Public Member Functions

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

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = Superclass::ImageDimension
static const unsigned int NumberOfComponents = FeatureImagePixelType::Dimension

Protected Member Functions

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

Protected Attributes

MahalanobisFunctionPointer m_Mahalanobis
ScalarValueType m_Threshold

Detailed Description

template<class TImageType, class TFeatureImageType>
class itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >

This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance.

CREDITS
This class was contributed to ITK by Stefan Lindenau http://www.itk.org/pipermail/insight-users/2003-December/005969.html
SegmentationLevelSetFunction is a subclass of the generic LevelSetFunction.
It useful for segmentations based on intensity values in an image. It works by constructing a speed term (feature image) with positive values inside an intensity window (between a low and high threshold) and negative values outside that intensity window. The evolving level set front will lock onto regions that are at the edges of the intensity window.
Image $ f(x) $ is thresholded pixel by pixel using threshold $T$ according to the following formula.

\[ f(x) = T - MahalanobisDistance(x) \]

See also:
SegmentationLevelSetImageFunction
ThresholdSegmentationLevelSetImageFilter
MahalanobisDistanceMembershipFunction

Definition at line 58 of file itkVectorThresholdSegmentationLevelSetFunction.h.


Member Typedef Documentation

template<class TImageType , class TFeatureImageType >
typedef SmartPointer< const Self > itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ConstPointer
template<class TImageType , class TFeatureImageType >
typedef MahalanobisFunctionType::CovarianceMatrixType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CovarianceMatrixType
template<class TImageType , class TFeatureImageType >
typedef FeatureImageType::PixelType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImagePixelType

Extract the number of components in the vector pixel type .

Definition at line 87 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
typedef TFeatureImageType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImageType
template<class TImageType , class TFeatureImageType >
typedef Superclass::FeatureScalarType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureScalarType
template<class TImageType , class TFeatureImageType >
typedef Superclass::ImageType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageType

Extract some parameters from the superclass.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

Definition at line 74 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
typedef MahalanobisFunctionType::Pointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionPointer
template<class TImageType , class TFeatureImageType >
typedef Statistics::MahalanobisDistanceMembershipFunction< FeatureScalarType > itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionType
template<class TImageType , class TFeatureImageType >
typedef MahalanobisFunctionType::MeanVectorType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MeanVectorType
template<class TImageType , class TFeatureImageType >
typedef SmartPointer< Self > itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Pointer
template<class TImageType , class TFeatureImageType >
typedef Superclass::RadiusType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::RadiusType
template<class TImageType , class TFeatureImageType >
typedef Superclass::ScalarValueType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ScalarValueType
template<class TImageType , class TFeatureImageType >
typedef VectorThresholdSegmentationLevelSetFunction itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Self
template<class TImageType , class TFeatureImageType >
typedef SegmentationLevelSetFunction< TImageType, TFeatureImageType > itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Superclass

Constructor & Destructor Documentation

template<class TImageType , class TFeatureImageType >
itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::VectorThresholdSegmentationLevelSetFunction ( ) [inline, protected]
template<class TImageType , class TFeatureImageType >
virtual itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::~VectorThresholdSegmentationLevelSetFunction ( ) [inline, protected, virtual]
template<class TImageType , class TFeatureImageType >
itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::VectorThresholdSegmentationLevelSetFunction ( const Self ) [protected]

Member Function Documentation

template<class TImageType , class TFeatureImageType >
virtual void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CalculateSpeedImage ( ) [virtual]

This method must be defined in a subclass to implement a working function object. This method is called before the solver begins its work to produce the speed image used as the level set function's Propagation speed term. See LevelSetFunction for more information.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

template<class TImageType , class TFeatureImageType >
virtual::itk::LightObject::Pointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::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::LevelSetFunction< TImageType >.

template<class TImageType , class TFeatureImageType >
const CovarianceMatrixType& itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetCovariance ( ) const [inline]
template<class TImageType , class TFeatureImageType >
const MeanVectorType& itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetMean ( ) const [inline]

Set/Get mean and covariance

Definition at line 98 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
virtual const char* itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

template<class TImageType , class TFeatureImageType >
ScalarValueType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::GetThreshold ( ) [inline]
template<class TImageType , class TFeatureImageType >
virtual void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Initialize ( const RadiusType r) [inline, virtual]

This method creates the appropriate member variable operators for the level-set calculations. The argument to this function is a the radius necessary for performing the level-set calculations.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

Definition at line 117 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
static Pointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::LevelSetFunction< TImageType >.

template<class TImageType , class TFeatureImageType >
void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::operator= ( const Self ) [protected]

Laplacean smoothing term

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

template<class TImageType , class TFeatureImageType >
void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [inline, 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::LevelSetFunction< TImageType >.

Definition at line 152 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetCovariance ( const CovarianceMatrixType cov) [inline]
template<class TImageType , class TFeatureImageType >
void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetMean ( const MeanVectorType mean) [inline]

Set/Get mean and covariance

Definition at line 97 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
void itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::SetThreshold ( ScalarValueType  thr) [inline]

Set/Get the threshold value for the MahanalobisDistance

Definition at line 105 of file itkVectorThresholdSegmentationLevelSetFunction.h.


Member Data Documentation

template<class TImageType , class TFeatureImageType >
const unsigned int itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageDimension = Superclass::ImageDimension [static]

Extract some parameters from the superclass.

Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.

Definition at line 84 of file itkVectorThresholdSegmentationLevelSetFunction.h.

template<class TImageType , class TFeatureImageType >
MahalanobisFunctionPointer itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_Mahalanobis [protected]
template<class TImageType , class TFeatureImageType >
ScalarValueType itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::m_Threshold [protected]
template<class TImageType , class TFeatureImageType >
const unsigned int itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::NumberOfComponents = FeatureImagePixelType::Dimension [static]

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