ExampleRefineContour.cpp

/*
  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 ExampleRefineContour.cpp
   @relates ContourDetectorSimple
   @brief Example Contour Refinement
   Usage: ExampleRefineContour SegmentedImage ColorImage ContourImage
   @ingroup g_examples
   @author MIP
*/

#include <Filter/FilterNTo2N.hh>
#include <Filter/GradientSobel3x3.hh>
#include <Filter/GradientGauss.hh>
#include <Filter/GradientGaussAsymmetric.hh>
#include <Base/Image/ImageIO.hh>
#include <Base/Image/ImageConvert.hh>
#include <Base/Debug/TimeMeasure.hh>
#include <math.h>
#include <Base/ImageUtils/ImageDraw.hh>
#include "FeatureDetector/ContourDetectorSimple.hh"
#include <Base/Common/BIASpragma.hh>

using namespace BIAS;
using namespace std;

#define InputImageType unsigned char
#define OutputImageType float


int main(int argc, char *argv[])
{

  if(argc < 4){
    cerr << "usage: "<< argv[0] << "SegmentedImage ColorImage ContourImage" << endl;
    exit(0);
  }


  Image<float> segIm;
  Image<InputImageType> im;
  Image<OutputImageType> gx, gy, g;
  Image<float>contourImg;

  // read images
  ImageIO::Load(argv[1],segIm);
  ImageIO::Load(argv[2],im);

  // first search contours of image
  ContourDetectorSimple<float> cont;
  cont.SetBackground(0);
  std::vector<BIASContour> contour;
  cont.Detect(segIm, contour);

  // calculate gradients of image
  FilterNTo2N<InputImageType, OutputImageType> *grad = NULL;
  GradientSobel3x3<InputImageType, OutputImageType> gsobel3x3;
  GradientGauss<InputImageType, OutputImageType> ggauss;
  GradientGaussAsymmetric<InputImageType, OutputImageType>  ggaussasymmetric;
  //grad = &gsobel3x3;
  grad = &ggauss;
  grad->SetBorderHandling(FilterBase<InputImageType,
                          OutputImageType>::TBH_valid);

  gsobel3x3.Filter(im, gx, gy, g);
  float** data = g.GetImageDataArray();

  // search refinements

  BIASContour ct = contour[0];
  BIASContour ct_copy = contour[0];

  // die Contour ablaufen
  int dSearchLength = 20;
  double start_x, start_y, end_x, end_y;
  BIAS::Vector2<double> pointS;
  BIAS::Vector2<double> pointMiddle;
  BIAS::Vector2<double> pointE;
  for(unsigned int i = 0; i < ct.length; i++){
    // read startpoint of line
    pointS = ct.contourPixel[i];
    start_x = pointS[0];
    start_y = pointS[1];

    // read middle point (this one will maybe refined)
    pointMiddle = ct.contourPixel[(i+2)%ct.length];
    int offset = (i+4)%ct.length;

    // read endpoint of line
    pointE = ct.contourPixel[offset];
    end_x = pointE[0];
    end_y = pointE[1];

    //freeman = ct.freemanCode[i];

    //double dx = end_x - start_x;
    //double dy = end_y - start_y;

    // calc distance
    double distance = sqrt(pow((end_x - start_x),2) +
                           pow((end_y - start_y),2));


    double PvectorXone = (end_y - start_y);
    double PvectorYone = -(end_x - start_x);

    double coefficient = dSearchLength / distance;
    double normX = coefficient*PvectorXone;
    //double normY = coefficient*PvectorYone;

    //cout << start_x << " , " << start_y << ", Normale: " << PvectorXone << "," << PvectorYone << endl;

    // die Normale nach aussen laufen
    int x,y;
    int fk = 1;
    bool found = false;

    // search outside of the contour
    while((normX+pointMiddle[0]) - (pointMiddle[0] + PvectorXone*fk) > 0 ){
      x = pointMiddle[0] + PvectorXone*fk;
      y = pointMiddle[1] + PvectorYone*fk;

      if(data[y][x] > 12.0){
        // move point
        ct_copy.contourPixel[i][0]=x;
        ct_copy.contourPixel[i][1]=y;
        found = true;
        break;
      }
      fk++;
    }
    // search inside of the contour
    fk=-1;
    if(!found){
      while((pointMiddle[0]-normX) - (pointMiddle[0] + PvectorXone*fk) > 0 ){
        x = pointMiddle[0] + PvectorXone*fk;
        y = pointMiddle[1] + PvectorYone*fk;
        if(x >=0 && y >=0){
        if(data[y][x] > 12.0){
          // move point
          ct_copy.contourPixel[i][0]=x;
          ct_copy.contourPixel[i][1]=y;
          found = true;
          break;
        }
        }else{
          break;
        }
        fk--;
      }
    }

  }

  contourImg.Init(segIm.GetWidth(), segIm.GetHeight(),3);

      // draw contour before refinement
      for (unsigned int k=0;k<ct.length;k++){
              contourImg.SetPixel(100,100,100,
                                  (unsigned int)ct.contourPixel[k][0],
                                  (unsigned int)ct.contourPixel[k][1]);

            }
      // draw contour after refinement
      for (unsigned int k=0;k<ct_copy.length;k++){
        contourImg.SetPixel(255,255,255,
                            (unsigned int)ct_copy.contourPixel[k][0],
                            (unsigned int)ct_copy.contourPixel[k][1]);

      }

      // connect points of contour with lines
      float col[3];
      col[0] = 255;
      col[1] = 255;
      col[2] = 255;
      for (unsigned int k=0;k<ct_copy.length-1;k++){
        ImageDraw<float>::Line(contourImg,(unsigned int) ct_copy.contourPixel[k][0],
            (unsigned int) ct_copy.contourPixel[k][1],
            (unsigned int) ct_copy.contourPixel[k+1][0],
            (unsigned int) ct_copy.contourPixel[k+1][1],
            col,
            1.0);
      }


      // save contour
    ImageIO::Save(argv[3], contourImg);

}