ExampleHistogram.cpp

Example for HistogramImage usage: sort values in bins, etc...

Author

MIP

/*
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 ExampleHistogram.cpp
   @relates HistogramImage
   @brief Example for HistogramImage usage: sort values in bins, etc... 
   @ingroup g_examples
   @author  MIP
*/

#include <Base/Image/Image.hh>
#include <Base/Image/ImageIO.hh>
#include <Base/ImageUtils/ImageDraw.hh>
#include <Base/Math/Random.hh>
#include <Image/HistogramImage.hh>
#include <iostream>

using namespace BIAS;
using namespace std;
/** \file ExampleHistrogram.cpp
    \brief usage for the HistogramImage class
*/
int main(int argc, char *argv[])
{
  int res, binc=256;

  Image<unsigned char> image1, image2;
  HistogramImage hist;
  Histogram2D hist2D;

  if (argc <3) {
    cerr<< argv[0] <<" <pgm file> <pgm file2>"<<endl;
    exit(1);
  }

  if ((res=ImageIO::ImportImage(argv[1], image1)) != 0){
    cerr << "error loading file " << argv[1] << "   " << res << endl;
    exit (-1);
  }

  if (image1.GetChannelCount() != 1){
    cerr << "wrong channel count in image"<< endl;
  }

  hist.SetFactor(1);

  hist.SetDrawMode(HIST_LINES);

  // 256 bins and three histograms
  hist.InitHist(binc, 3);

  // use red as color fo histogram 0
  hist.SetColor(255,0,0, 0);
  // use green as color for histogram 1
  hist.SetColor(0,255,0, 1);
  // use blue as color for histogram 2
  hist.SetColor(0,0,255, 2);

  hist.AddHist(image1, 0);

  if ((res=ImageIO::ImportImage(argv[2], image2)) != 0){
    cerr << "error loading file " << argv[2] << "   " << res << endl;
    exit (-1);
  }

  hist.AddHist(image2, 1);

  vector<double> h3;
  Random r;
  for (int i=0; i<1024; i++){
    for(int j=0; j<1000; j++)
      h3.push_back(r.GetUniformDistributed(DBL_MIN,DBL_MAX));
  }

  hist.AddHist(h3, 2);

  hist.Draw();

  //hist.DrawLog();

  //hist.Dump();

  unsigned st[2], end[2];
  double dst[2]={0, 1000}, dend[2];
  dend[0] = (double)binc; dend[1]  = 1000;
  unsigned char col[]={255, 0, 255};
  dst[0]=0; dend[0]=binc;
  for (int i=1000; i<15000; i+=1000){
    dst[1]=dend[1]=i;
    hist.CooTransf(dst, st, 0);
    hist.CooTransf(dend, end, 0);
    cerr <<"drawing "<<st[0]<<", "<<st[1]<<" -> "<<end[0]<<", "<<end[1]<<endl;
    ImageDraw<unsigned char>::Line(hist, st, end, col);
  }


  if (ImageIO::Save("hist", hist, ImageIO::FF_ppm)!=0){
    BIASERR("error writing");
  }

  vector<unsigned> xd, yd;
  unsigned char *id1, *id2;
  id1=image1.GetImageData();
  id2=image2.GetImageData();
  unsigned pc=image1.GetPixelCount();
  if (image2.GetPixelCount()<pc) pc=image2.GetPixelCount();
  for (unsigned i=0; i<pc; i++) {
    xd.push_back((unsigned)id1[i]);
    yd.push_back((unsigned)id2[i]);
  }

  hist2D.InitHist(128, 256);

  hist2D.SetFactor(2);

  hist2D.ZeroHist();

  hist2D.AddHist(xd, yd);

  // the black stripes in the histogram come from the discretizing
  hist2D.DrawLog();

  //hist2D.Dump();
  //hist2D.WriteASCII();

  if (ImageIO::Save("hist2D", hist2D, ImageIO::FF_ppm)!=0){
    BIASERR("error writing");
  }

  return 0;
}