staticSaliency.cpp 3.69 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
 //
 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 //
 //  By downloading, copying, installing or using the software you agree to this license.
 //  If you do not agree to this license, do not download, install,
 //  copy or use the software.
 //
 //
 //                           License Agreement
 //                For Open Source Computer Vision Library
 //
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 // Copyright (C) 2014, OpenCV Foundation, all rights reserved.
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 // Third party copyrights are property of their respective owners.
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#include "precomp.hpp"

namespace cv
{
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namespace saliency
{
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/**
 * StaticSaliency
 */

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bool StaticSaliency::computeBinaryMap( InputArray _saliencyMap, OutputArray _binaryMap )
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{
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  Mat saliencyMap = _saliencyMap.getMat();
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  CV_CheckTypeEQ(saliencyMap.type(), CV_32FC1, "");
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  Mat labels = Mat::zeros( saliencyMap.rows * saliencyMap.cols, 1, 1 );
  Mat samples = Mat_<float>( saliencyMap.rows * saliencyMap.cols, 1 );
  Mat centers;
  TermCriteria terminationCriteria;
  terminationCriteria.epsilon = 0.2;
  terminationCriteria.maxCount = 1000;
  terminationCriteria.type = TermCriteria::COUNT + TermCriteria::EPS;

  int elemCounter = 0;
  for ( int i = 0; i < saliencyMap.rows; i++ )
  {
    for ( int j = 0; j < saliencyMap.cols; j++ )
    {
      samples.at<float>( elemCounter, 0 ) = saliencyMap.at<float>( i, j );
      elemCounter++;
    }
  }

  kmeans( samples, 5, labels, terminationCriteria, 5, KMEANS_RANDOM_CENTERS, centers );

  Mat outputMat = Mat_<float>( saliencyMap.size() );
  int intCounter = 0;
  for ( int x = 0; x < saliencyMap.rows; x++ )
  {
    for ( int y = 0; y < saliencyMap.cols; y++ )
    {
      outputMat.at<float>( x, y ) = centers.at<float>( labels.at<int>( intCounter, 0 ), 0 );
      intCounter++;
    }

  }

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  //Convert
  outputMat = outputMat * 255;
  outputMat.convertTo( outputMat, CV_8U );

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  // adaptative thresholding using Otsu's method, to make saliency map binary
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  _binaryMap.createSameSize(outputMat, outputMat.type());
  Mat BinaryMap = _binaryMap.getMat();
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  threshold( outputMat, BinaryMap, 0, 255, THRESH_BINARY | THRESH_OTSU );

  return true;

}

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}/* namespace saliency */
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}/* namespace cv */