ExampleConvolution.cpp

Example for using Convolution Filter

Author

fkellner, 11/2008

/*
 This file is part of the BIAS library (Basic ImageAlgorithmS).

 Copyright (C) 2003-2009    (see file CONTACT for details)
 Multimediale Systeme der Informationsverarbeitung
 Institut fuer Informatik
 Christian-Albrechts-Universitaet Kiel


 BIAS is free software; you can redistribute it and/or modify
 it under the terms of the GNU Lesser General Public License as published by
 the Free Software Foundation; either version 2.1 of the License, or
 (at your option) any later version.

 BIAS 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 Lesser General Public License for more details.

 You should have received a copy of the GNU Lesser General Public License
 along with BIAS; if not, write to the Free Software
 Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
/** 
    @example ExampleConvolution.cpp
    @relates Convolution
    @brief Example for using Convolution Filter
    @ingroup g_examples 
    @author fkellner, 11/2008   
*/
// must be first:
//#include <Base/Common/LeakChecking.h> 

#include <iostream>
#include "Filter/Convolution.hh"
#include <Base/Common/BIASpragma.hh>

using namespace BIAS;
using namespace std;

int main(int argc, char *argv[])
{
  Image<unsigned char> src,dst;
  src.Init(10,10);
  dst.Init(10,10);

  Convolution<unsigned char,unsigned char> conv;
  FilterMask fm;

  unsigned char *srcdata=src.GetImageData();
  unsigned char *dstdata=dst.GetImageData();

  for(int x=0;x<100;x++)
    {
      srcdata[x]=0;
      dstdata[x]=0;
    }
  srcdata[10*5+5]=100;
  srcdata[0]=100;

  Matrix<short> kern;
  Vector<short> khor;
  Vector<short> kver;
  kern.newsize(3,3);
  kern[0][0]=1;
  kern[0][1]=2;
  kern[0][2]=1;
  kern[1][0]=2;
  kern[1][1]=4;
  kern[1][2]=2;
  kern[2][0]=1;
  kern[2][1]=2;
  kern[2][2]=1;

  khor.newsize(3);
  kver.newsize(3);
  khor[0]=1;
  khor[1]=2;
  khor[2]=1;
  kver[0]=1;
  kver[1]=2;
  kver[2]=1;

  
  fm.Init(kern,1);
  fm.CreateFloatFilter();

  conv.SetKernel(fm);
  conv.FilterInt(src,dst);
  cout <<"dst matrix:\n";
  for(int y=0;y<10;y++)
  {
      for(int x=0;x<10;x++)
          cout <<(int)dstdata[y*10+x]<<" ";
      cout <<endl;
  }

  fm.Init(khor,kver,1,0);
  conv.SetKernel(fm);
  conv.FilterInt(src,dst);
  cout <<"dst sep:\n";
  for(int y=0;y<10;y++)
    {
      for(int x=0;x<10;x++)
    cout <<(int)dstdata[y*10+x]<<" ";
      cout <<endl;
    }

  conv.SetKernel(fm);
  conv.FilterFloat(src,dst);
  cout <<"dst matrix float:\n";
  for(int y=0;y<10;y++)
    {
      for(int x=0;x<10;x++)
    cout <<(int)dstdata[y*10+x]<<" ";
      cout <<endl;
    }

  conv.SetKernel(fm);
  conv.FilterFloat(src,dst);
  cout <<"dst sep float:\n";
  for(int y=0;y<10;y++)
    {
      for(int x=0;x<10;x++)
    cout <<(int)dstdata[y*10+x]<<" ";
      cout <<endl;
    }
  
  return 0;
}