FastMedianList.h

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/********************************************************************
**                Image Component Library (ICL)                    **
**                                                                 **
** Copyright (C) 2006-2013 CITEC, University of Bielefeld          **
**                         Neuroinformatics Group                  **
** Website: www.iclcv.org and                                      **
**          http://opensource.cit-ec.de/projects/icl               **
**                                                                 **
** File   : ICLUtils/src/ICLUtils/FastMedianList.h                 **
** Module : ICLUtils                                               **
** Authors: Christof Elbrechter                                    **
**                                                                 **
**                                                                 **
** GNU LESSER GENERAL PUBLIC LICENSE                               **
** This file may be used under the terms of the GNU Lesser General **
** Public License version 3.0 as published by the                  **
**                                                                 **
** Free Software Foundation and appearing in the file LICENSE.LGPL **
** included in the packaging of this file.  Please review the      **
** following information to ensure the license requirements will   **
** be met: http://www.gnu.org/licenses/lgpl-3.0.txt                **
**                                                                 **
** The development of this software was supported by the           **
** Excellence Cluster EXC 277 Cognitive Interaction Technology.    **
** The Excellence Cluster EXC 277 is a grant of the Deutsche       **
** Forschungsgemeinschaft (DFG) in the context of the German       **
** Excellence Initiative.                                          **
**                                                                 **
********************************************************************/

#pragma once

#include <ICLUtils/CompatMacros.h>
#include <string.h>
#include <cmath>

namespace icl{
  namespace utils{

    class FastMedianList{
      public:

      inline FastMedianList(int size=0,int t2=-1, int t3=-1, int t4=-1):
        m_iSize(size),m_iT2(t2),m_iT3(t3),m_iT4(t4), m_piTable(size ? new int[size]: 0){
        clear();
      }

      inline FastMedianList(const FastMedianList &l):
        m_iSize(l.m_iSize),m_iT2(l.m_iT2),m_iT3(l.m_iT3),m_iT4(l.m_iT4){
        m_piTable = m_iSize ? new int[m_iSize] : 0;
        clear();
      }

      inline FastMedianList &operator=(const FastMedianList &l){
        m_iSize = l.m_iSize;
        m_iT2   = l.m_iT2;
        m_iT3   = l.m_iT3;
        m_iT4   = l.m_iT4;
        m_piTable = m_iSize ? new int[m_iSize] : 0;
        clear();
        return *this;
      }

      inline ~FastMedianList(){
        if(m_piTable) delete [] m_piTable;
      }

      inline void init(int size, int t2=-1, int t3=-1, int t4=-1){
        m_iSize = size;
        m_iT2 = t2;
        m_iT3 = t3;
        m_iT4 = t4;
        if(m_piTable)delete [] m_piTable;
        m_piTable = new int[size];
      }

      inline int add(int index){
        m_piTable[index]++;
        m_iCount++;
        return m_iCount;
      }

      inline void add(int index, int val){
        m_piTable[index]++;
        m_iCount++;
        if(val > m_iT2)return;
        m_piTable[index]++;
        m_iCount++;
        if(val > m_iT3)return;
        m_piTable[index]++;
        m_iCount++;
        if(val > m_iT4)return;
        m_piTable[index]++;
        m_iCount++;
      }

      inline int median(){
        if(m_iCount == 0)return -1;
        int mass=0;
        int count2 = m_iCount/2;
        for(int i=0;i<m_iSize;i++){
          mass+=m_piTable[i];
          if(mass > count2){
            return i;
          }
        }
        return 0;
      }

      inline void clear(){
        memset(m_piTable,0,m_iSize*sizeof(int));
        m_iCount=0;
      }

      inline int mean(){
        int m=0;

        if (!m_iCount) return 0;

        for(int i=0;i<m_iSize;i++){
          m+=m_piTable[i]*i;
        }
        return m/m_iCount;

      }

      inline int variance(){
        int var=0;
        int m = mean();
        for(int i=0;i<m_iSize;i++){
          var+=( m_piTable[i]*(int)pow(float(i-m),2) );
        }
        return var/m_iCount;

      }
      inline int getSize(){
        return m_iCount;
      }

      protected:
      int m_iCount;

      int m_iSize;

      int m_iT2;

      int m_iT3;

      int m_iT4;

      int *m_piTable;
    };

  } // namespace utils
}