itk::ParticleEntropyGradientFunction
This function returns an estimate of the gradient of the entropy of a particle distribution with respect to change in position of a specific particle in that distribution. More...
#include <itkParticleEntropyGradientFunction.h>
Inherits from itk::ParticleVectorFunction< VDimension >, LightObject
Inherited by itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction< TGradientNumericType, VDimension >, itk::ParticleCurvatureEntropyGradientFunction< TGradientNumericType, VDimension >, itk::ParticleModifiedCotangentEntropyGradientFunction< TGradientNumericType, VDimension >, itk::ParticleOmegaGradientFunction< TGradientNumericType, VDimension >
Public Types
Name | |
---|---|
typedef ParticleEntropyGradientFunction | Self |
typedef SmartPointer< Self > | Pointer |
typedef SmartPointer< const Self > | ConstPointer |
typedef ParticleVectorFunction< VDimension > | Superclass |
typedef TGradientNumericType | GradientNumericType |
typedef Superclass::ParticleSystemType | ParticleSystemType |
typedef ParticleContainerArrayAttribute< double, VDimension > | SigmaCacheType |
typedef Superclass::VectorType | VectorType |
typedef ParticleSystemType::PointType | PointType |
typedef vnl_vector_fixed< TGradientNumericType, VDimension > | GradientVectorType |
Public Functions
Name | |
---|---|
itkTypeMacro(ParticleEntropyGradientFunction , ParticleVectorFunction ) | |
itkNewMacro(Self ) | |
itkStaticConstMacro(Dimension , unsigned int , VDimension ) | |
virtual VectorType | Evaluate(unsigned int , unsigned int , const ParticleSystemType * , double & ) const |
virtual VectorType | Evaluate(unsigned int , unsigned int , const ParticleSystemType * , double & , double & ) const |
virtual double | Energy(unsigned int , unsigned int , const ParticleSystemType * ) const |
virtual void | ResetBuffers() |
virtual double | EstimateSigma(unsigned int idx, const typename ParticleSystemType::PointVectorType & neighborhood, const shapeworks::ParticleDomain * domain, const std::vector< double > & weights, const PointType & pos, double initial_sigma, double precision, int & err) const |
TGradientNumericType | AngleCoefficient(const GradientVectorType & , const GradientVectorType & ) const |
void | SetMinimumNeighborhoodRadius(double s) |
double | GetMinimumNeighborhoodRadius() const |
void | SetMaximumNeighborhoodRadius(double s) |
double | GetMaximumNeighborhoodRadius() const |
void | SetFlatCutoff(double s) |
double | GetFlatCutoff() const |
void | SetNeighborhoodToSigmaRatio(double s) |
double | GetNeighborhoodToSigmaRatio() const |
void | SetSpatialSigmaCache(SigmaCacheType * s) |
SigmaCacheType * | GetSpatialSigmaCache() |
const SigmaCacheType * | GetSpatialSigmaCache() const |
void | ComputeAngularWeights(const PointType & , int , const typename ParticleSystemType::PointVectorType & , const shapeworks::ParticleDomain * , std::vector< double > & ) const |
virtual ParticleVectorFunction< VDimension >::Pointer | Clone() |
Protected Functions
Name | |
---|---|
ParticleEntropyGradientFunction() | |
virtual | ~ParticleEntropyGradientFunction() |
void | operator=(const ParticleEntropyGradientFunction & ) |
ParticleEntropyGradientFunction(const ParticleEntropyGradientFunction & ) |
Protected Attributes
Name | |
---|---|
double | m_MinimumNeighborhoodRadius |
double | m_MaximumNeighborhoodRadius |
double | m_FlatCutoff |
double | m_NeighborhoodToSigmaRatio |
SigmaCacheType::Pointer | m_SpatialSigmaCache |
Additional inherited members
Public Functions inherited from itk::ParticleVectorFunction< VDimension >
Name | |
---|---|
virtual void | AfterIteration() |
virtual void | BeforeIteration() |
virtual void | BeforeEvaluate(unsigned int , unsigned int , const ParticleSystemType * ) |
virtual void | SetParticleSystem(ParticleSystemType * p) |
virtual ParticleSystemType * | GetParticleSystem() const |
virtual void | SetDomainNumber(unsigned int i) |
virtual int | GetDomainNumber() const |
Protected Functions inherited from itk::ParticleVectorFunction< VDimension >
Name | |
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ParticleVectorFunction() | |
virtual | ~ParticleVectorFunction() |
ParticleVectorFunction(const ParticleVectorFunction & ) |
Protected Attributes inherited from itk::ParticleVectorFunction< VDimension >
Name | |
---|---|
ParticleSystemType * | m_ParticleSystem |
unsigned int | m_DomainNumber |
Detailed Description
template <class TGradientNumericType ,
unsigned int VDimension>
class itk::ParticleEntropyGradientFunction;
This function returns an estimate of the gradient of the entropy of a particle distribution with respect to change in position of a specific particle in that distribution.
The following description is an excerpt from
J Cates, P T Fletcher, M Styner, M Shenton, R Whitaker. Shape Modeling and Analysis with Entropy-Based Particle Systems. Information Processing in Medical Imaging IPMI 2007, LNCS 4584, pp. 333�345, 2007.
We treat a surface as a subset of \(\Re^d\), where \(d=2\) or \(d=3\) depending whether we are processing curves in the plane or surfaces in a volume, refspectively. The method we describe here deals with smooth, closed manifolds of codimension one, and we will refer to such manifolds as {surfaces}. We sample a surface \({\cal S} \subset \Re^d\) using a discrete set of \(N\) points that are considered random variables \(Z = (X_1, X_2, \ldots, X_N)\) drawn from a probability density function (PDF), \(p(X)\). We denote a realization of this PDF with lower case, and thus we have \(z = (x_1, x_2,\ldots, x_N)\), where \(z \in {\cal S}^N\). The probability of a realization \(x\) is \(p(X = x)\), which we denote simply as \(p(x)\).
The amount of information contained in such a random sampling is, in the limit, the differential entropy of the PDF, which is \(H[X] = -\int_S p(x) \log p(x) dx = -E\{\log p(X)\}\), where \(E\{ \cdot \}\) is the expectation. When we have a sufficient number of points sampled from \(p\), we can approximate the expectation by the sample mean, which gives \(H[X] \approx - (1/N)\sum_{i} \log p(x_i)\). We must also estimate \(p(x_i)\). Density functions on surfaces can be quite complex, and so we use a nonparametric, Parzen windowing estimation of this density using the particles themselves. Thus we have where \(G(x_i - x_j, \sigma_i)\) is a \(d\)-dimensional, isotropic Gaussian with standard deviation \(\sigma_i\). The cost function \(C\), is therefore an approximation of (negative) entropy:
Public Types Documentation
typedef Self
typedef ParticleEntropyGradientFunction itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::Self;
Standard class typedefs.
typedef Pointer
typedef SmartPointer<Self> itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::Pointer;
typedef ConstPointer
typedef SmartPointer<const Self> itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::ConstPointer;
typedef Superclass
typedef ParticleVectorFunction<VDimension> itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::Superclass;
typedef GradientNumericType
typedef TGradientNumericType itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::GradientNumericType;
Data type representing individual gradient components.
typedef ParticleSystemType
typedef Superclass::ParticleSystemType itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::ParticleSystemType;
Type of particle system.
typedef SigmaCacheType
typedef ParticleContainerArrayAttribute<double, VDimension> itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::SigmaCacheType;
Cache type for the sigma values.
typedef VectorType
typedef Superclass::VectorType itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::VectorType;
Vector & Point types.
typedef PointType
typedef ParticleSystemType::PointType itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::PointType;
typedef GradientVectorType
typedef vnl_vector_fixed<TGradientNumericType, VDimension> itk::ParticleEntropyGradientFunction< TGradientNumericType, VDimension >::GradientVectorType;
Public Functions Documentation
function itkTypeMacro
itkTypeMacro(
ParticleEntropyGradientFunction ,
ParticleVectorFunction
)
function itkNewMacro
itkNewMacro(
Self
)
Method for creation through the object factory.
function itkStaticConstMacro
itkStaticConstMacro(
Dimension ,
unsigned int ,
VDimension
)
Dimensionality of the domain of the particle system.
function Evaluate
virtual VectorType Evaluate(
unsigned int ,
unsigned int ,
const ParticleSystemType * ,
double &
) const
Reimplements: itk::ParticleVectorFunction::Evaluate
Reimplemented by: itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleCurvatureEntropyGradientFunction::Evaluate, itk::ParticleCurvatureEntropyGradientFunction::Evaluate, itk::ParticleModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleOmegaGradientFunction::Evaluate, itk::ParticleOmegaGradientFunction::Evaluate
The first argument is a pointer to the particle system. The second argument is the index of the domain within that particle system. The third argument is the index of the particle location within the given domain.
function Evaluate
inline virtual VectorType Evaluate(
unsigned int ,
unsigned int ,
const ParticleSystemType * ,
double & ,
double &
) const
Reimplements: itk::ParticleVectorFunction::Evaluate
Reimplemented by: itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleCurvatureEntropyGradientFunction::Evaluate, itk::ParticleCurvatureEntropyGradientFunction::Evaluate, itk::ParticleModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleModifiedCotangentEntropyGradientFunction::Evaluate, itk::ParticleOmegaGradientFunction::Evaluate, itk::ParticleOmegaGradientFunction::Evaluate
function Energy
inline virtual double Energy(
unsigned int ,
unsigned int ,
const ParticleSystemType *
) const
Reimplements: itk::ParticleVectorFunction::Energy
Reimplemented by: itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction::Energy, itk::ParticleCurvatureEntropyGradientFunction::Energy, itk::ParticleCurvatureEntropyGradientFunction::Energy, itk::ParticleModifiedCotangentEntropyGradientFunction::Energy, itk::ParticleModifiedCotangentEntropyGradientFunction::Energy, itk::ParticleOmegaGradientFunction::Energy, itk::ParticleOmegaGradientFunction::Energy
function ResetBuffers
inline virtual void ResetBuffers()
Reimplements: itk::ParticleVectorFunction::ResetBuffers
May be called by the solver class.
function EstimateSigma
virtual double EstimateSigma(
unsigned int idx,
const typename ParticleSystemType::PointVectorType & neighborhood,
const shapeworks::ParticleDomain * domain,
const std::vector< double > & weights,
const PointType & pos,
double initial_sigma,
double precision,
int & err
) const
Estimate the best sigma for Parzen windowing in a given neighborhood. The best sigma is the sigma that maximizes probability at the given point
function AngleCoefficient
TGradientNumericType AngleCoefficient(
const GradientVectorType & ,
const GradientVectorType &
) const
Returns a weighting coefficient based on the angle between two vectors. Weights smoothly approach zero as the angle between two normals approaches 90 degrees.
function SetMinimumNeighborhoodRadius
inline void SetMinimumNeighborhoodRadius(
double s
)
Minimum radius of the neighborhood of points that are considered in the calculation. The neighborhood is a spherical radius in 3D space. The actual radius used in a calculation may exceed this value, but will not exceed the MaximumNeighborhoodRadius.
function GetMinimumNeighborhoodRadius
inline double GetMinimumNeighborhoodRadius() const
function SetMaximumNeighborhoodRadius
inline void SetMaximumNeighborhoodRadius(
double s
)
Maximum radius of the neighborhood of points that are considered in the calculation. The neighborhood is a spherical radius in 3D space.
function GetMaximumNeighborhoodRadius
inline double GetMaximumNeighborhoodRadius() const
function SetFlatCutoff
inline void SetFlatCutoff(
double s
)
Numerical parameters
function GetFlatCutoff
inline double GetFlatCutoff() const
function SetNeighborhoodToSigmaRatio
inline void SetNeighborhoodToSigmaRatio(
double s
)
function GetNeighborhoodToSigmaRatio
inline double GetNeighborhoodToSigmaRatio() const
function SetSpatialSigmaCache
inline void SetSpatialSigmaCache(
SigmaCacheType * s
)
Access the cache of sigma values for each particle position. This cache is populated by registering this object as an observer of the correct particle system (see SetParticleSystem).
function GetSpatialSigmaCache
inline SigmaCacheType * GetSpatialSigmaCache()
function GetSpatialSigmaCache
inline const SigmaCacheType * GetSpatialSigmaCache() const
function ComputeAngularWeights
void ComputeAngularWeights(
const PointType & ,
int ,
const typename ParticleSystemType::PointVectorType & ,
const shapeworks::ParticleDomain * ,
std::vector< double > &
) const
Compute a set of weights based on the difference in the normals of a central point and each of its neighbors. Difference of > 90 degrees results in a weight of 0.
function Clone
inline virtual ParticleVectorFunction< VDimension >::Pointer Clone()
Reimplements: itk::ParticleVectorFunction::Clone
Reimplemented by: itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction::Clone, itk::ParticleConstrainedModifiedCotangentEntropyGradientFunction::Clone, itk::ParticleCurvatureEntropyGradientFunction::Clone, itk::ParticleCurvatureEntropyGradientFunction::Clone, itk::ParticleModifiedCotangentEntropyGradientFunction::Clone, itk::ParticleModifiedCotangentEntropyGradientFunction::Clone, itk::ParticleOmegaGradientFunction::Clone, itk::ParticleOmegaGradientFunction::Clone
Protected Functions Documentation
function ParticleEntropyGradientFunction
inline ParticleEntropyGradientFunction()
function ~ParticleEntropyGradientFunction
inline virtual ~ParticleEntropyGradientFunction()
function operator=
void operator=(
const ParticleEntropyGradientFunction &
)
function ParticleEntropyGradientFunction
ParticleEntropyGradientFunction(
const ParticleEntropyGradientFunction &
)
Protected Attributes Documentation
variable m_MinimumNeighborhoodRadius
double m_MinimumNeighborhoodRadius;
variable m_MaximumNeighborhoodRadius
double m_MaximumNeighborhoodRadius;
variable m_FlatCutoff
double m_FlatCutoff;
variable m_NeighborhoodToSigmaRatio
double m_NeighborhoodToSigmaRatio;
variable m_SpatialSigmaCache
SigmaCacheType::Pointer m_SpatialSigmaCache;
Updated on 2022-07-23 at 17:50:02 -0600