[OpenCV] Samples 08: edge
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Canny edge detector
效率高,效果可控。
- TrackBar的使用。
- 技巧:gray找边缘后作为mask去CopyTo()。
#include "opencv2/core/utility.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include <stdio.h> using namespace cv; using namespace std; int edgeThresh = 1; Mat image, gray, edge, cedge; // define a trackbar callback static void onTrackbar(int, void*) { /* Step one */ blur(gray, edge, Size(3,3)); // Run the edge detector on grayscale Canny(edge, edge, edgeThresh, edgeThresh*3, 3); cedge = Scalar::all(0); /* * Jeff --> the second parameter is mask. */ image.copyTo(cedge, edge); imshow("Edge map", cedge); } static void help() { printf("\\nThis sample demonstrates Canny edge detection\\n" "Call:\\n" " /.edge [image_name -- Default is ../data/fruits.jpg]\\n\\n"); } const char* keys = { "{help h||}{@image |../data/fruits.jpg|input image name}" }; int main( int argc, const char** argv ) { CommandLineParser parser(argc, argv, keys); if (parser.has("help")) { help(); return 0; } string filename = parser.get<string>(0); 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, COLOR_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; }
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