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

#include <itkShapePriorMAPCostFunction.h>

+ Inheritance diagram for itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >:
+ Collaboration diagram for itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >:

List of all members.

Public Types

typedef Array< double > ArrayType
typedef SmartPointer< const SelfConstPointer
typedef
Superclass::FeatureImagePointer 
FeatureImagePointer
typedef
Superclass::FeatureImageType 
FeatureImageType
typedef Superclass::MeasureType MeasureType
typedef
Superclass::NodeContainerType 
NodeContainerType
typedef Superclass::NodeType NodeType
typedef Superclass::ParametersType ParametersType
typedef Superclass::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef ShapePriorMAPCostFunction Self
typedef
Superclass::ShapeFunctionType 
ShapeFunctionType
typedef
ShapePriorMAPCostFunctionBase
< TFeatureImage, TOutputPixel > 
Superclass

Public Member Functions

virtual MeasureType ComputeLogGradientTerm (const ParametersType &parameters) const
virtual MeasureType ComputeLogInsideTerm (const ParametersType &parameters) const
virtual MeasureType ComputeLogPosePriorTerm (const ParametersType &parameters) const
virtual MeasureType ComputeLogShapePriorTerm (const ParametersType &parameters) const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual const char * GetNameOfClass () const
virtual void Initialize (void) throw ( ExceptionObject )
virtual void SetShapeParameterMeans (ArrayType _arg)
virtual ArrayType GetShapeParameterMeans () const
virtual void SetShapeParameterStandardDeviations (ArrayType _arg)
virtual ArrayType GetShapeParameterStandardDeviations () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = TFeatureImage::ImageDimension

Protected Member Functions

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

Private Member Functions

void operator= (const Self &)
 ShapePriorMAPCostFunction (const Self &)

Private Attributes

GaussianKernelFunction< double >
::Pointer 
m_GaussianFunction
ArrayType m_ShapeParameterMeans
ArrayType m_ShapeParameterStandardDeviations
WeightsType m_Weights
typedef FixedArray< double, 4 > WeightsType
virtual void SetWeights (WeightsType _arg)
virtual const WeightsTypeGetWeights ()

Detailed Description

template<class TFeatureImage, class TOutputPixel>
class itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >

Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape paramaeters.

This class follows the shape and pose parameters estimation developed in [1]. Note that this class returns the negative log of the MAP function. Using the negative function make this cost function compatible with generic optimizers which seeks the minimum of a cost function.

This class has two template parameters, the feature image type representing the edge potential map and the pixel type used to represent the output level set in the ShapePriorSegmentationLevelSetImageFilter.

See also:
ShapePriorSegmentationLevelSetImageFilter
REFERENCES
[1] Leventon, M.E. et al. "Statistical Shape Influence in Geodesic Active Contours", CVPR 2000.

Definition at line 50 of file itkShapePriorMAPCostFunction.h.


Member Typedef Documentation

template<class TFeatureImage , class TOutputPixel >
typedef Array< double > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ArrayType

Type of the array for storing shape parameter mean and standard deivation. FIXME: should be templated.

Definition at line 95 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef SmartPointer< const Self > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ConstPointer
template<class TFeatureImage , class TOutputPixel >
typedef Superclass::FeatureImagePointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImagePointer
template<class TFeatureImage , class TOutputPixel >
typedef Superclass::FeatureImageType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImageType

Type of the feature image representing the edge potential map.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 71 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::MeasureType

Type of the return measure value.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 75 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::NodeContainerType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeContainerType

Type of container used to store the level set nodes.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 87 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::NodeType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeType

Type of node used to represent the active region around the zero set.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 84 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::ParametersType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ParametersType

ParametersType typedef. It defines a position in the optimization search space.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 64 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::PixelType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::PixelType

Type of pixel used to represent the level set.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 81 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef SmartPointer< Self > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Pointer
template<class TFeatureImage , class TOutputPixel >
typedef ShapePriorMAPCostFunction itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Self

Standard class typedefs.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 55 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef Superclass::ShapeFunctionType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapeFunctionType

Type of the shape signed distance function.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 90 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
typedef ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Superclass
template<class TFeatureImage , class TOutputPixel >
typedef FixedArray< double, 4 > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::WeightsType

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 104 of file itkShapePriorMAPCostFunction.h.


Constructor & Destructor Documentation

template<class TFeatureImage , class TOutputPixel >
itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapePriorMAPCostFunction ( ) [protected]
template<class TFeatureImage , class TOutputPixel >
virtual itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::~ShapePriorMAPCostFunction ( ) [inline, protected, virtual]

Definition at line 148 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapePriorMAPCostFunction ( const Self ) [private]

Member Function Documentation

template<class TFeatureImage , class TOutputPixel >
virtual MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogGradientTerm ( const ParametersType parameters) const [virtual]

Compute the gradient term component of the MAP cost function. In particular, this method assume that ( 1 - FeatureImage ) approximates a Gaussian (zero mean, unit variance) algon the normal of the evolving contour. The gradient term is then given by a Laplacian of the goodness of fit of the Gaussian.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogInsideTerm ( const ParametersType parameters) const [virtual]

Compute the inside term component of the MAP cost function. In particular, the method sums the number of pixels inside the current contour (defined by nodes of the active region that are less than zero) which are outside the shape specified by the input parameters.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogPosePriorTerm ( const ParametersType parameters) const [virtual]

Compute the pose prior component of the MAP cost function. In particular, this method assumes that the pose parameters are uniformly distributed and returns a constant of zero.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogShapePriorTerm ( const ParametersType parameters) const [virtual]

Compute the shape prior component of the MAP cost function. In particular, the method assumes that the shape parameters comes from independent Gaussian distributions defined by the ShapeParameterMeans and ShapeParameterVariances array.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual::itk::LightObject::Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::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::Object.

template<class TFeatureImage , class TOutputPixel >
virtual const char* itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetShapeParameterMeans ( ) const [virtual]

Set/Get the array of shape parameters mean.

template<class TFeatureImage , class TOutputPixel >
virtual ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetShapeParameterStandardDeviations ( ) const [virtual]

Set/Get the array of shape parameters standard deviation.

template<class TFeatureImage , class TOutputPixel >
virtual const WeightsType& itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetWeights ( ) [virtual]

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

template<class TFeatureImage , class TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Initialize ( void  ) throw ( ExceptionObject ) [virtual]

Initialize the cost function by making sure that all the components are present.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
static Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TFeatureImage , class TOutputPixel >
void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::operator= ( const Self ) [private]

Mutex lock to protect modification to the reference count

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::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::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

template<class TFeatureImage , class TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetShapeParameterMeans ( ArrayType  _arg) [virtual]

Set/Get the array of shape parameters mean.

template<class TFeatureImage , class TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetShapeParameterStandardDeviations ( ArrayType  _arg) [virtual]

Set/Get the array of shape parameters standard deviation.

template<class TFeatureImage , class TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetWeights ( WeightsType  _arg) [virtual]

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.


Member Data Documentation

template<class TFeatureImage , class TOutputPixel >
const unsigned int itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ImageDimension = TFeatureImage::ImageDimension [static]

Dimension constant.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

Definition at line 78 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
GaussianKernelFunction<double>::Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_GaussianFunction [private]

Definition at line 160 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_ShapeParameterMeans [private]

Definition at line 156 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_ShapeParameterStandardDeviations [private]

Definition at line 157 of file itkShapePriorMAPCostFunction.h.

template<class TFeatureImage , class TOutputPixel >
WeightsType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_Weights [private]

Definition at line 158 of file itkShapePriorMAPCostFunction.h.


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