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Add Java and Python code for the following imgproc tutorials: Finding contours in your image, Convex Hull, Creating Bounding boxes and circles for contours, Creating Bounding rotated boxes and ellipses for contours, Image Moments, Point Polygon Test.
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@@ -12,9 +12,8 @@
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using namespace cv;
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using namespace std;
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Mat src; Mat src_gray;
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Mat src_gray;
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int thresh = 100;
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int max_thresh = 255;
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RNG rng(12345);
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/// Function header
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@@ -25,30 +24,31 @@ void thresh_callback(int, void* );
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*/
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int main( int argc, char** argv )
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{
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
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src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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/// Load source image and convert it to gray
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CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
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Mat src = imread( parser.get<String>( "@input" ) );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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/// Convert image to gray and blur it
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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blur( src_gray, src_gray, Size(3,3) );
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/// Convert image to gray and blur it
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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blur( src_gray, src_gray, Size(3,3) );
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/// Create Window
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const char* source_window = "Source";
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namedWindow( source_window, WINDOW_AUTOSIZE );
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imshow( source_window, src );
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/// Create Window
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const char* source_window = "Source";
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namedWindow( source_window );
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imshow( source_window, src );
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createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
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thresh_callback( 0, 0 );
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const int max_thresh = 255;
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createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
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thresh_callback( 0, 0 );
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waitKey(0);
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return(0);
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waitKey();
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return 0;
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}
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/**
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@@ -56,31 +56,30 @@ int main( int argc, char** argv )
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*/
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void thresh_callback(int, void* )
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{
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Mat threshold_output;
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vector<vector<Point> > contours;
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vector<Vec4i> hierarchy;
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/// Detect edges using Canny
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Mat canny_output;
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Canny( src_gray, canny_output, thresh, thresh*2 );
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/// Detect edges using Threshold
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threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
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/// Find contours
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vector<vector<Point> > contours;
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findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
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/// Find contours
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findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
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/// Find the convex hull object for each contour
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vector<vector<Point> >hull( contours.size() );
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for( size_t i = 0; i < contours.size(); i++ )
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{
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convexHull( contours[i], hull[i] );
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}
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/// Find the convex hull object for each contour
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vector<vector<Point> >hull( contours.size() );
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for( size_t i = 0; i < contours.size(); i++ )
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{ convexHull( contours[i], hull[i], false ); }
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/// Draw contours + hull results
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Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
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for( size_t i = 0; i< contours.size(); i++ )
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{
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Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
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drawContours( drawing, contours, (int)i, color );
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drawContours( drawing, hull, (int)i, color );
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}
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/// Draw contours + hull results
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Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
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for( size_t i = 0; i< contours.size(); i++ )
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{
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Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
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drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
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drawContours( drawing, hull, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
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}
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/// Show in a window
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namedWindow( "Hull demo", WINDOW_AUTOSIZE );
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imshow( "Hull demo", drawing );
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/// Show in a window
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imshow( "Hull demo", drawing );
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}
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