itkmixturemodelcomponentbase.h

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkMixtureModelComponentBase.h,v $
  Language:  C++
  Date:      $Date: 2005-07-26 15:55:04 $
  Version:   $Revision: 1.9 $

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/
#ifndef __itkMixtureModelComponentBase_h
#define __itkMixtureModelComponentBase_h

#include <vnl/vnl_vector.h>
#include <vnl/vnl_matrix.h>

#include "itkArray.h"
#include "itkObject.h"
#include "itkMembershipFunctionBase.h"

namespace itk{ 
namespace Statistics{
  
/** \class MixtureModelComponentBase
 * \brief base class for distribution modules that supports analytical way 
 * to update the distribution parameters 
 *
 * This class expects that its subclasses (distribution components) should
 * have analytical expressions for updating its paraters using only 
 * the measurement vectors and their associated weights.
 *
 * This class can be considered as a macro class that encapsulates the 
 * storage for the weights, model (subclasses of MembershipFunctionBase),
 * and model parameter estimators (implemenation of analytical expressions).
 * 
 * Subclasses of this class should define their own distribution specific
 * membership function. For example, GaussianMixtureModelComponent class 
 * defines and creates a GaussianDensityFunction object for that matter.
 * Subclasses should also cast such membership function object to 
 * MembershipFunctionBase object. By doing that, users can get pointers 
 * to membership functions from different distributional model
 *  
 * \sa ExpectationMaximizationMixtureModelEstimator
 */

template< class TSample >
class MixtureModelComponentBase :
    public Object
{
public:
  /**Standard class typedefs. */
  typedef MixtureModelComponentBase Self;
  typedef Object Superclass ;
  typedef SmartPointer<Self> Pointer;
  typedef SmartPointer<const Self> ConstPointer;

  /**Standard Macros */
  itkTypeMacro(MixtureModelComponentBase, Object);
  itkNewMacro(Self) ;
  
  typedef typename TSample::MeasurementVectorType     MeasurementVectorType ;
  typedef typename TSample::MeasurementVectorSizeType MeasurementVectorSizeType;

  /** typedef for the MembershipFunctionBase */
  typedef MembershipFunctionBase< MeasurementVectorType >
  MembershipFunctionType ;

  /** typedef of strorage for the weights */
  typedef Array< double > WeightArrayType ;

  typedef Array< double > ParametersType ;

  /** stores the sample pointer */
  virtual void SetSample(const TSample* sample) ;
  
  /** returns the sample pointer */
  const TSample* GetSample() const;

  /** returns the pointer to the membership function object.
   * Subclasses of this class are responsible for creating the
   * actual membership function objects and cast them to 
   * MembershipFunctionBase objects */
  MembershipFunctionType* GetMembershipFunction() ;

  void SetMinimalParametersChange(double change)
  { m_MinimalParametersChange = change ; }

  double GetMinimalParametersChange()
  { return m_MinimalParametersChange ; }

  virtual void SetParameters(const ParametersType &parameters) ;

  virtual ParametersType GetFullParameters()
  { return m_Parameters ; }


  /** sets the parameters modified tag. if one or more of the membership 
   * funtion's parameters are changed, then flag should be true */
  void AreParametersModified(bool flag) ;

  /** returns the value of parameter modified tag */
  bool AreParametersModified() ;

  /** sets the index-th weight with the "value" */
  void SetWeight(int index, double value) ;
  
  /** returns the index-th weight */
  double GetWeight(int index) ;

  /** returns the membership score of the "measurements" vector */
  double Evaluate(MeasurementVectorType& measurements) ;

  /** returns the pointer to the weights array */
  WeightArrayType* GetWeights() ;

  virtual void Update() ;
  
protected:
  MixtureModelComponentBase() ;
  virtual ~MixtureModelComponentBase() ;
  void PrintSelf(std::ostream& os, Indent indent) const;

  /** allocates the weights array */
  void CreateWeightArray() ;
  /** deallocates the weights array */
  void DeleteWeightArray() ;
  /** stores the pointer to the membership function.
   * subclasses use this funtion to store their membership function
   * object after dynamic creation */ 
  void SetMembershipFunction(MembershipFunctionType* function) ;

  virtual void GenerateData() ;

private:
  /** target sample data pointer */
  const TSample* m_Sample ;

  double m_MinimalParametersChange ;

  ParametersType m_Parameters ;
  /** SmartPointer to the memberhip function - usually density function */
  MembershipFunctionType* m_MembershipFunction ;
  /** weights array */
  WeightArrayType* m_Weights ;
  /** indicative flag of membership function's parameter changes */
  bool m_ParametersModified ;
  
} ; // end of class
    
} // end of namespace Statistics 
} // end of namespace itk 

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMixtureModelComponentBase.txx"
#endif

#endif