autoDoc/HTML/---libBayesian-include-CInformationCalculator-h

    /* -*- mode: c++ -*-
    */
    /*

        GIFT, a flexible content based image retrieval system.
        Copyright (C) 1998, 1999, 2000 CUI, University of Geneva

        This program is free software; you can redistribute it and/or modify
        it under the terms of the GNU General Public License as published by
        the Free Software Foundation; either version 2 of the License, or
        (at your option) any later version.

        This program is distributed in the hope that it will be useful,
        but WITHOUT ANY WARRANTY; without even the implied warranty of
        MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
        GNU General Public License for more details.

        You should have received a copy of the GNU General Public License
        along with this program; if not, write to the Free Software
        Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

    */
    #ifndef _CINFORMATIONCALCULATOR
    #define _CINFORMATIONCALCULATOR

    #include <math.h>
    #include <functional>

    class CInformationCalculator:public unary_function<double,double>{
    public:
      ///really applying this function
      virtual double operator()(double)const=0;
      ///
      virtual void startFirstPass();
      ///
      virtual bool isOnePass()const;
      ///
      virtual void adjustInnerState(double);

      ///Cloning
      CInformationCalculator* clone()const;
      ///
      virtual CInformationCalculator* subClone()const=0;
    };

    //
    class CICEntropy:public CInformationCalculator{
    public:
      ///
      virtual double operator()(double)const;
      ///
      virtual CInformationCalculator* subClone()const;
    };
    //
    class CICEntropyWithThreshold:public CInformationCalculator{
      ///
      double mMaximum;
      ///
      double mThreshold;
    public:
      ///
      CICEntropyWithThreshold(double inThreshold=1.0);
      ///
      CICEntropyWithThreshold(const CICEntropyWithThreshold&
    		       in);
      ///
      void setThreshold(double inThreshold);
      ///
      virtual bool isOnePass()const;
      ///
      virtual void startFirstPass();
      ///
      virtual void adjustInnerState(double);
      ///
      virtual double operator()(double)const;
      ///
      virtual CInformationCalculator* subClone()const;
    };

    //
    class CICERelative:public CInformationCalculator{
      ///
      double mSum;
      ///
      double mThreshold;
    public:
      ///
      CICERelative(double inThreshold=1.0);
      ///
      CICERelative(const CICERelative&
    		       in);
      ///
      void setThreshold(double inThreshold);
      ///
      virtual bool isOnePass()const;
      ///
      virtual void startFirstPass();
      ///
      virtual void adjustInnerState(double);
      ///
      virtual double operator()(double)const;
      ///
      virtual CInformationCalculator* subClone()const;
    };

    class CICSum:public CInformationCalculator{
    public:
      virtual double operator()(double)const;
      virtual CInformationCalculator* subClone()const;
    };
    #endif