/** * @function hull_demo.cpp * @brief Demo code to find contours in an image * @author OpenCV team */ #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp" #include using namespace cv; using namespace std; Mat src_gray; int thresh = 100; RNG rng(12345); /// Function header void thresh_callback(int, void* ); /** * @function main */ int main( int argc, char** argv ) { /// Load source image and convert it to gray CommandLineParser parser( argc, argv, "{@input | stuff.jpg | input image}" ); Mat src = imread( samples::findFile( parser.get( "@input" ) ) ); if( src.empty() ) { cout << "Could not open or find the image!\n" << endl; cout << "Usage: " << argv[0] << " " << endl; return -1; } /// Convert image to gray and blur it cvtColor( src, src_gray, COLOR_BGR2GRAY ); blur( src_gray, src_gray, Size(3,3) ); /// Create Window const char* source_window = "Source"; namedWindow( source_window ); imshow( source_window, src ); const int max_thresh = 255; createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback ); thresh_callback( 0, 0 ); waitKey(); return 0; } /** * @function thresh_callback */ void thresh_callback(int, void* ) { /// Detect edges using Canny Mat canny_output; Canny( src_gray, canny_output, thresh, thresh*2 ); /// Find contours vector > contours; findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE ); /// Find the convex hull object for each contour vector >hull( contours.size() ); for( size_t i = 0; i < contours.size(); i++ ) { convexHull( contours[i], hull[i] ); } /// Draw contours + hull results Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 ); for( size_t i = 0; i< contours.size(); i++ ) { Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) ); drawContours( drawing, contours, (int)i, color ); drawContours( drawing, hull, (int)i, color ); } /// Show in a window imshow( "Hull demo", drawing ); }