ITK
4.3.0
Insight Segmentation and Registration Toolkit
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#include <itkShapePriorMAPCostFunction.h>
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.
Definition at line 50 of file itkShapePriorMAPCostFunction.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TFeatureImage::ImageDimension |
Static Public Attributes inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > | |
static const unsigned int | ImageDimension = TFeatureImage::ImageDimension |
Protected Member Functions | |
void | PrintSelf (std::ostream &os, Indent indent) const |
ShapePriorMAPCostFunction () | |
virtual | ~ShapePriorMAPCostFunction () |
Protected Member Functions inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > | |
void | PrintSelf (std::ostream &os, Indent indent) const |
ShapePriorMAPCostFunctionBase () | |
virtual | ~ShapePriorMAPCostFunctionBase () |
Protected Member Functions inherited from itk::SingleValuedCostFunction | |
SingleValuedCostFunction () | |
virtual | ~SingleValuedCostFunction () |
Protected Member Functions inherited from itk::CostFunction | |
CostFunction () | |
virtual | ~CostFunction () |
Protected Member Functions inherited from itk::Object | |
Object () | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | SetTimeStamp (const TimeStamp &time) |
virtual | ~Object () |
Protected Member Functions inherited from itk::LightObject | |
virtual LightObject::Pointer | InternalClone () const |
LightObject () | |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
virtual | ~LightObject () |
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 WeightsType & | GetWeights () |
Additional Inherited Members | |
Protected Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Protected Attributes inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > | |
NodeContainerPointer | m_ActiveRegion |
FeatureImagePointer | m_FeatureImage |
ShapeFunctionPointer | m_ShapeFunction |
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.
typedef SmartPointer< const Self > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ConstPointer |
Definition at line 58 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::FeatureImagePointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImagePointer |
Definition at line 72 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::FeatureImageType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImageType |
Type of the feature image representing the edge potential map.
Definition at line 71 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::MeasureType |
Type of the return measure value.
Definition at line 75 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::NodeContainerType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeContainerType |
Type of container used to store the level set nodes.
Definition at line 87 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::NodeType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeType |
Type of node used to represent the active region around the zero set.
Definition at line 84 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::ParametersType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ParametersType |
ParametersType typedef. It defines a position in the optimization search space.
Definition at line 64 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::PixelType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::PixelType |
Type of pixel used to represent the level set.
Definition at line 81 of file itkShapePriorMAPCostFunction.h.
typedef SmartPointer< Self > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Pointer |
Definition at line 57 of file itkShapePriorMAPCostFunction.h.
typedef ShapePriorMAPCostFunction itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Self |
Standard class typedefs.
Definition at line 55 of file itkShapePriorMAPCostFunction.h.
typedef Superclass::ShapeFunctionType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapeFunctionType |
Type of the shape signed distance function.
Definition at line 90 of file itkShapePriorMAPCostFunction.h.
typedef ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel > itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Superclass |
Definition at line 56 of file itkShapePriorMAPCostFunction.h.
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.
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Definition at line 148 of file itkShapePriorMAPCostFunction.h.
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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 >.
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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 >.
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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 >.
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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 >.
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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.
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Run-time type information (and related methods).
Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.
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Set/Get the array of shape parameters mean.
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Set/Get the array of shape parameters standard deviation.
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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.
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Initialize the cost function by making sure that all the components are present.
Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.
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Method for creation through the object factory.
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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::CostFunction.
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Set/Get the array of shape parameters mean.
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Set/Get the array of shape parameters standard deviation.
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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.
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Dimension constant.
Definition at line 78 of file itkShapePriorMAPCostFunction.h.
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Definition at line 160 of file itkShapePriorMAPCostFunction.h.
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Definition at line 156 of file itkShapePriorMAPCostFunction.h.
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Definition at line 157 of file itkShapePriorMAPCostFunction.h.
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Definition at line 158 of file itkShapePriorMAPCostFunction.h.