X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=lib%2FcpExtensions%2FAlgorithms%2FIterativeGaussianModelEstimator.h;fp=lib%2FcpExtensions%2FAlgorithms%2FIterativeGaussianModelEstimator.h;h=0000000000000000000000000000000000000000;hb=2e142df11d6f312a2a2b5097b8da73571ed523e8;hp=b38e06ede2d6732e86f4793a97964de10b0859b1;hpb=61b3659afe961ed248f30e26f9ca8f28fcfafddc;p=cpPlugins.git

diff --git a/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h b/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h
deleted file mode 100644
index b38e06e..0000000
--- a/lib/cpExtensions/Algorithms/IterativeGaussianModelEstimator.h
+++ /dev/null
@@ -1,171 +0,0 @@
-// -------------------------------------------------------------------------
-// @author Leonardo Florez-Valencia (florez-l@javeriana.edu.co)
-// -------------------------------------------------------------------------
-
-#ifndef __CPEXTENSIONS__ALGORITHMS__ITERATIVEGAUSSIANMODELESTIMATOR__H__
-#define __CPEXTENSIONS__ALGORITHMS__ITERATIVEGAUSSIANMODELESTIMATOR__H__
-
-#include <vector>
-#include <itkConceptChecking.h>
-#include <itkObject.h>
-#include <itkObjectFactory.h>
-
-#include <itkCovariantVector.h>
-#include <itkMatrix.h>
-#include <itkPoint.h>
-#include <itkVector.h>
-
-namespace cpExtensions
-{
-  namespace Algorithms
-  {
-    /**
-     * Recursive formulation taken from:
-     * http://lmb.informatik.uni-freiburg.de/lectures/mustererkennung/Englische_Folien/07_c_ME_en.pdf
-     */
-    template< class _TScalar, unsigned int _VDimension >
-    class IterativeGaussianModelEstimator
-      : public itk::Object
-    {
-    public:
-      typedef IterativeGaussianModelEstimator Self;
-      typedef itk::Object                     Superclass;
-      typedef itk::SmartPointer< Self >       Pointer;
-      typedef itk::SmartPointer< const Self > ConstPointer;
-
-      typedef _TScalar TScalar;
-      itkStaticConstMacro( Dimension, unsigned int, _VDimension );
-
-      // Begin concept checking
-#ifdef ITK_USE_CONCEPT_CHECKING
-      itkConceptMacro(
-        ScalarTypeHasFloatResolution,
-        ( itk::Concept::IsFloatingPoint< _TScalar > )
-        );
-#endif
-      // End concept checking
-
-      typedef itk::Matrix< TScalar, Dimension, Dimension > TMatrix;
-      typedef itk::Vector< TScalar, Dimension > TVector;
-
-    public:
-      itkNewMacro( Self );
-      itkTypeMacro( IterativeGaussianModelEstimator, itkObject );
-
-      itkGetConstMacro( Mean, TVector );
-      itkGetConstMacro( Covariance, TMatrix );
-      itkGetConstMacro( UnbiasedCovariance, TMatrix );
-      itkGetConstMacro( NumberOfSamples, unsigned long );
-
-      itkSetMacro( Mean, TVector );
-      itkSetMacro( Covariance, TMatrix );
-      itkSetMacro( NumberOfSamples, unsigned long );
-
-    public:
-      void Clear( );
-
-      template< class _TOtherScalar >
-      void AddSample( const _TOtherScalar& x1, ... );
-
-      template< class _TOtherScalar >
-      void AddSample( const _TOtherScalar* array );
-
-      template< class _TOtherScalar >
-      void AddSample( const vnl_vector< _TOtherScalar >& v );
-
-      template< class _TOtherScalar >
-      void AddSample(
-        const itk::CovariantVector< _TOtherScalar, _VDimension >& v
-        );
-
-      template< class _TOtherScalar >
-      void AddSample( const itk::Point< _TOtherScalar, _VDimension >& p );
-
-      template< class _TOtherScalar >
-      void AddSample( const itk::Vector< _TOtherScalar, _VDimension >& v );
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis( const _TOtherScalar& x1, ... ) const;
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis( const _TOtherScalar* array ) const;
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis(
-        const vnl_vector< _TOtherScalar >& v
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis(
-        const itk::CovariantVector< _TOtherScalar, _VDimension >& v
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis(
-        const itk::Point< _TOtherScalar, _VDimension >& p
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar SquaredMahalanobis(
-        const itk::Vector< _TOtherScalar, _VDimension >& v
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density( const _TOtherScalar& x1, ... ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density( const _TOtherScalar* array ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density(
-        const vnl_vector< _TOtherScalar >& v
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density(
-        const itk::CovariantVector< _TOtherScalar, _VDimension >& v
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density(
-        const itk::Point< _TOtherScalar, _VDimension >& p
-        ) const;
-
-      template< class _TOtherScalar >
-      _TScalar Density(
-        const itk::Vector< _TOtherScalar, _VDimension >& v
-        ) const;
-
-    protected:
-      IterativeGaussianModelEstimator( );
-      virtual ~IterativeGaussianModelEstimator( );
-
-    protected:
-      void _AddSample( const TVector& v ) const;
-      _TScalar _SquaredMahalanobis( const TVector& v ) const;
-      _TScalar _Density( const TVector& v ) const;
-
-    private:
-      // Purposely not implemented
-      IterativeGaussianModelEstimator( const Self& other );
-      void operator=( const Self& other );
-
-    protected:
-      // Recursive avg/cov values
-      mutable unsigned long m_NumberOfSamples;
-      mutable TVector m_Mean;
-      mutable TMatrix m_Covariance;
-      mutable TMatrix m_UnbiasedCovariance;
-      mutable bool m_InverseUpdated;
-      mutable TMatrix m_InverseUnbiasedCovariance;
-    };
-
-  } // ecapseman
-
-} // ecapseman
-
-#include <cpExtensions/Algorithms/IterativeGaussianModelEstimator.hxx>
-
-#endif // __CPEXTENSIONS__ALGORITHMS__ITERATIVEGAUSSIANMODELESTIMATOR__H__
-
-// eof - $RCSfile$