/*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.
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 //
 //                           License Agreement
 //                For Open Source Computer Vision Library
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 // Copyright (C) 2014, Biagio Montesano, all rights reserved.
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 // Redistribution and use in source and binary forms, with or without modification,
 // are permitted provided that the following conditions are met:
 //
 //   * Redistribution's of source code must retain the above copyright notice,
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#include <iostream>
#include <opencv2/opencv_modules.hpp>

#ifdef HAVE_OPENCV_FEATURES

#include <opencv2/line_descriptor.hpp>
#include <opencv2/core/utility.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/features.hpp>
#include <opencv2/highgui.hpp>

using namespace cv;
using namespace cv::line_descriptor;
using namespace std;

static const char* keys =
{ "{@image_path | | Image path }" };

static void help()
{
  cout << "\nThis example shows the functionalities of lines extraction " << "furnished by BinaryDescriptor class\n"
       << "Please, run this sample using a command in the form\n" << "./example_line_descriptor_lines_extraction <path_to_input_image>" << endl;
}

int main( int argc, char** argv )
{
  /* get parameters from comand line */
  CommandLineParser parser( argc, argv, keys );
  String image_path = parser.get<String>( 0 );

  if( image_path.empty() )
  {
    help();
    return -1;
  }

  /* load image */
  cv::Mat imageMat = imread( image_path, 1 );
  if( imageMat.data == NULL )
  {
    std::cout << "Error, image could not be loaded. Please, check its path" << std::endl;
    return -1;
  }

  /* create a random binary mask */
  cv::Mat mask = Mat::ones( imageMat.size(), CV_8UC1 );

  /* create a pointer to a BinaryDescriptor object with deafult parameters */
  Ptr<BinaryDescriptor> bd = BinaryDescriptor::createBinaryDescriptor();

  /* create a structure to store extracted lines */
  vector<KeyLine> lines;

  /* extract lines */
  cv::Mat output = imageMat.clone();
  bd->detect( imageMat, lines, mask );

  /* draw lines extracted from octave 0 */
  if( output.channels() == 1 )
    cvtColor( output, output, COLOR_GRAY2BGR );
  for ( size_t i = 0; i < lines.size(); i++ )
  {
    KeyLine kl = lines[i];
    if( kl.octave == 0)
    {
      /* get a random color */
      int R = ( rand() % (int) ( 255 + 1 ) );
      int G = ( rand() % (int) ( 255 + 1 ) );
      int B = ( rand() % (int) ( 255 + 1 ) );

      /* get extremes of line */
      Point pt1 = Point2f( kl.startPointX, kl.startPointY );
      Point pt2 = Point2f( kl.endPointX, kl.endPointY );

      /* draw line */
      line( output, pt1, pt2, Scalar( B, G, R ), 3 );
    }

  }

  /* show lines on image */
  imshow( "Lines", output );
  waitKey();
}

#else

int main()
{
    std::cerr << "OpenCV was built without features module" << std::endl;
    return 0;
}

#endif // HAVE_OPENCV_FEATURES
