ANIMA
4.0
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Gaussian Model estimator Class performing expectation-maximation algorithm. More...
#include <animaGaussianEMEstimator.h>
Public Types | |
typedef itk::SmartPointer< const Self > | ConstPointer |
typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType > | GaussianFunctionType |
typedef std::map< Intensities, std::vector< Ocurrences > > | GenericContainer |
typedef std::map< Intensities, Ocurrences > | Histogram |
typedef itk::ImageRegionConstIterator< InputImageType > | InputConstIteratorType |
typedef InputImageType::ConstPointer | InputImageConstPointer |
typedef TInputImage | InputImageType |
typedef std::vector< MeasureType > | Intensities |
typedef itk::ImageRegionConstIterator< MaskImageType > | MaskConstIteratorType |
typedef TMaskImage | MaskImageType |
typedef itk::ImageRegionIterator< MaskImageType > | MaskIteratorType |
typedef itk::VariableLengthVector< NumericType > | MeasurementVectorType |
typedef unsigned short | MeasureType |
typedef double | NumericType |
typedef double | Ocurrences |
typedef itk::SmartPointer< Self > | Pointer |
typedef GaussianEMEstimator | Self |
typedef itk::ProcessObject | Superclass |
Public Member Functions | |
double | computeDistance (std::vector< GaussianFunctionType::Pointer > &newModel) |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
void | createJointHistogram () |
virtual double | expectation () |
std::vector< double > | GetAlphas () |
GenericContainer | GetAPosterioriProbability () |
std::vector< GaussianFunctionType::Pointer > | GetGaussianModel () |
TInputImage::ConstPointer | GetInputImage1 () |
TInputImage::ConstPointer | GetInputImage2 () |
TInputImage::ConstPointer | GetInputImage3 () |
TInputImage::ConstPointer | GetInputImage4 () |
TInputImage::ConstPointer | GetInputImage5 () |
Histogram | GetJointHistogram () |
return joint histogram More... | |
virtual double | GetLikelihood () |
TMaskImage::ConstPointer | GetMask () |
virtual unsigned int | GetMaxIterations () |
virtual double | GetModelMinDistance () |
virtual const char * | GetNameOfClass () const |
virtual bool | GetVerbose () |
double | likelihood (GaussianFunctionType::CovarianceMatrixType *invCovariance=NULL, double *detCovariance=NULL) |
virtual bool | maximization (std::vector< GaussianFunctionType::Pointer > &newModel, std::vector< double > &newAlphas) |
void | SetInitialAlphas (std::vector< double > &theValue) |
void | SetInitialGaussianModel (std::vector< GaussianFunctionType::Pointer > &theValue) |
Set model to be estimated. More... | |
void | SetInputImage1 (const TInputImage *image) |
void | SetInputImage2 (const TInputImage *image) |
void | SetInputImage3 (const TInputImage *image) |
void | SetInputImage4 (const TInputImage *image) |
void | SetInputImage5 (const TInputImage *image) |
virtual void | SetLikelihood (double _arg) |
void | SetMask (const TMaskImage *mask) |
virtual void | SetMaxIterations (unsigned int _arg) |
virtual void | SetModelMinDistance (double _arg) |
virtual void | SetVerbose (bool _arg) |
virtual void | Update () ITK_OVERRIDE |
Static Public Member Functions | |
static Pointer | New () |
Protected Member Functions | |
GaussianEMEstimator (const Self &) | |
GaussianEMEstimator () | |
void | operator= (const Self &) |
virtual | ~GaussianEMEstimator () |
Protected Attributes | |
std::vector< double > | m_Alphas |
model to be estimated (and solution if already run) More... | |
GenericContainer | m_APosterioriProbability |
std::vector< GaussianFunctionType::Pointer > | m_GaussianModel |
std::vector< InputImageConstPointer > | m_ImagesVector |
unsigned int | m_IndexImage1 |
unsigned int | m_IndexImage2 |
unsigned int | m_IndexImage3 |
unsigned int | m_IndexImage4 |
unsigned int | m_IndexImage5 |
unsigned int | m_IndexImage6 |
Histogram | m_JointHistogram |
joint histogram The points stored here will be used for estimate de model More... | |
Histogram | m_JointHistogramInitial |
double | m_Likelihood |
unsigned int | m_MaxIterations |
double | m_ModelMinDistance |
unsigned int | m_NbInputs |
unsigned int | m_nbMaxImages |
bool | m_Verbose |
Gaussian Model estimator Class performing expectation-maximation algorithm.
Definition at line 13 of file animaGaussianEMEstimator.h.
typedef itk::SmartPointer<const Self> anima::GaussianEMEstimator< TInputImage, TMaskImage >::ConstPointer |
Definition at line 21 of file animaGaussianEMEstimator.h.
typedef itk::Statistics::GaussianMembershipFunction< MeasurementVectorType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianFunctionType |
Definition at line 47 of file animaGaussianEMEstimator.h.
typedef std::map< Intensities, std::vector<Ocurrences> > anima::GaussianEMEstimator< TInputImage, TMaskImage >::GenericContainer |
Definition at line 42 of file animaGaussianEMEstimator.h.
typedef std::map<Intensities,Ocurrences> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Histogram |
Definition at line 43 of file animaGaussianEMEstimator.h.
typedef itk::ImageRegionConstIterator< InputImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputConstIteratorType |
Definition at line 32 of file animaGaussianEMEstimator.h.
typedef InputImageType::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputImageConstPointer |
Definition at line 31 of file animaGaussianEMEstimator.h.
typedef TInputImage anima::GaussianEMEstimator< TInputImage, TMaskImage >::InputImageType |
Type of the input image.
Definition at line 27 of file animaGaussianEMEstimator.h.
typedef std::vector<MeasureType> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Intensities |
Definition at line 41 of file animaGaussianEMEstimator.h.
typedef itk::ImageRegionConstIterator< MaskImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskConstIteratorType |
Definition at line 37 of file animaGaussianEMEstimator.h.
typedef TMaskImage anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskImageType |
Type of the mask image.
Definition at line 35 of file animaGaussianEMEstimator.h.
typedef itk::ImageRegionIterator< MaskImageType > anima::GaussianEMEstimator< TInputImage, TMaskImage >::MaskIteratorType |
Definition at line 36 of file animaGaussianEMEstimator.h.
typedef itk::VariableLengthVector<NumericType> anima::GaussianEMEstimator< TInputImage, TMaskImage >::MeasurementVectorType |
Definition at line 46 of file animaGaussianEMEstimator.h.
typedef unsigned short anima::GaussianEMEstimator< TInputImage, TMaskImage >::MeasureType |
Definition at line 40 of file animaGaussianEMEstimator.h.
typedef double anima::GaussianEMEstimator< TInputImage, TMaskImage >::NumericType |
Definition at line 45 of file animaGaussianEMEstimator.h.
typedef double anima::GaussianEMEstimator< TInputImage, TMaskImage >::Ocurrences |
Definition at line 39 of file animaGaussianEMEstimator.h.
typedef itk::SmartPointer<Self> anima::GaussianEMEstimator< TInputImage, TMaskImage >::Pointer |
Definition at line 20 of file animaGaussianEMEstimator.h.
typedef GaussianEMEstimator anima::GaussianEMEstimator< TInputImage, TMaskImage >::Self |
Standard class typedefs.
Definition at line 18 of file animaGaussianEMEstimator.h.
typedef itk::ProcessObject anima::GaussianEMEstimator< TInputImage, TMaskImage >::Superclass |
Definition at line 19 of file animaGaussianEMEstimator.h.
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Definition at line 109 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage1, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage2, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage3, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage4, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage5, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_IndexImage6, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_MaxIterations, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_ModelMinDistance, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_NbInputs, anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_nbMaxImages, and anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Verbose.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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Definition at line 123 of file animaGaussianEMEstimator.h.
double anima::GaussianEMEstimator< TInputImage, TMaskImage >::computeDistance | ( | std::vector< GaussianFunctionType::Pointer > & | newModel | ) |
Definition at line 533 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
virtual::itk::LightObject::Pointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::CreateAnother | ( | void | ) | const |
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::createJointHistogram | ( | ) |
Definition at line 95 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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Definition at line 148 of file animaGaussianEMEstimator.hxx.
References anima::xi().
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
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Definition at line 55 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Alphas.
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Definition at line 70 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::createJointHistogram(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage1(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage2(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage3(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage4(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage5(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetMask(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_APosterioriProbability, anima::GaussianEMEstimator< TInputImage, TMaskImage >::operator=(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage1(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage2(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage3(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage4(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage5(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetMask().
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Definition at line 54 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_GaussianModel.
TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage1 | ( | ) |
Definition at line 60 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage2 | ( | ) |
Definition at line 67 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage3 | ( | ) |
Definition at line 74 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage4 | ( | ) |
Definition at line 81 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
TInputImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetInputImage5 | ( | ) |
Definition at line 88 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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return joint histogram
Definition at line 59 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::computeDistance(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::expectation(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::likelihood(), anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_JointHistogramInitial, anima::GaussianEMEstimator< TInputImage, TMaskImage >::maximization(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::Update().
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TMaskImage::ConstPointer anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetMask | ( | ) |
Definition at line 53 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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Run-time type information (and related methods).
Reimplemented in anima::GaussianREMEstimator< TInputImage, TMaskImage >.
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double anima::GaussianEMEstimator< TInputImage, TMaskImage >::likelihood | ( | GaussianFunctionType::CovarianceMatrixType * | invCovariance = NULL , |
double * | detCovariance = NULL |
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Definition at line 444 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
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Definition at line 273 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
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Method for creation through the object factory.
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Definition at line 52 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_Alphas.
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Set model to be estimated.
Definition at line 51 of file animaGaussianEMEstimator.h.
References anima::GaussianEMEstimator< TInputImage, TMaskImage >::m_GaussianModel.
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage1 | ( | const TInputImage * | image | ) |
The mri images.
Definition at line 13 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage2 | ( | const TInputImage * | image | ) |
Definition at line 21 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage3 | ( | const TInputImage * | image | ) |
Definition at line 29 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage4 | ( | const TInputImage * | image | ) |
Definition at line 37 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInputImage5 | ( | const TInputImage * | image | ) |
Definition at line 45 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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void anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetMask | ( | const TMaskImage * | mask | ) |
mask in which the segmentation will be performed
Definition at line 7 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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Reimplemented in anima::GaussianREMEstimator< TInputImage, TMaskImage >.
Definition at line 409 of file animaGaussianEMEstimator.hxx.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
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model to be estimated (and solution if already run)
Definition at line 133 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAlphas(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialAlphas().
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Definition at line 125 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetAPosterioriProbability().
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Definition at line 134 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetGaussianModel(), and anima::GaussianEMEstimator< TInputImage, TMaskImage >::SetInitialGaussianModel().
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Definition at line 142 of file animaGaussianEMEstimator.h.
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 147 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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joint histogram The points stored here will be used for estimate de model
Definition at line 139 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianREMEstimator< TInputImage, TMaskImage >::GetConcentrationJointHistogram().
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Definition at line 140 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GetJointHistogram().
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Definition at line 148 of file animaGaussianEMEstimator.h.
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Definition at line 129 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), and anima::GaussianREMEstimator< TInputImage, TMaskImage >::GaussianREMEstimator().
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Definition at line 127 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator(), and anima::GaussianREMEstimator< TInputImage, TMaskImage >::GaussianREMEstimator().
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Definition at line 146 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 145 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().
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Definition at line 144 of file animaGaussianEMEstimator.h.
Referenced by anima::GaussianEMEstimator< TInputImage, TMaskImage >::GaussianEMEstimator().