#include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include using namespace cv; using namespace std; int edgeThresh = 1; Mat image, gray, edge, cedge; // define a trackbar callback void onTrackbar(int, void*) { blur(gray, edge, Size(3,3)); // Run the edge detector on grayscale Canny(edge, edge, edgeThresh, edgeThresh*3, 3); cedge = Scalar::all(0); image.copyTo(cedge, edge); imshow("Edge map", cedge); } void help() { printf("\nThis sample demonstrates Canny edge detection\n" "Call:\n" " /.edge [image_name -- Default is fruits.jpg]\n\n"); } const char* keys = { "{1| |fruits.jpg|input image name}" }; int main( int argc, const char** argv ) { help(); CommandLineParser parser(argc, argv, keys); string filename = parser.get("1"); image = imread(filename, 1); if(image.empty()) { printf("Cannot read image file: %s\n", filename.c_str()); help(); return -1; } cedge.create(image.size(), image.type()); cvtColor(image, gray, CV_BGR2GRAY); // Create a window namedWindow("Edge map", 1); // create a toolbar createTrackbar("Canny threshold", "Edge map", &edgeThresh, 100, onTrackbar); // Show the image onTrackbar(0, 0); // Wait for a key stroke; the same function arranges events processing waitKey(0); return 0; }