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Open Source Computer Vision Library
https://opencv.org/
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61 lines
1.2 KiB
61 lines
1.2 KiB
#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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void help() |
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{ |
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cout << |
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"\nDemonstrate Canny edge detection\n" |
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"Call:\n" |
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"/.edge [image_name -- Default is fruits.jpg]\n" << endl; |
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} |
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int edgeThresh = 1; |
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Mat image, gray, edge, cedge; |
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// define a trackbar callback |
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void onTrackbar(int, void*) |
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{ |
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blur(gray, edge, Size(3,3)); |
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// Run the edge detector on grayscale |
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Canny(edge, edge, edgeThresh, edgeThresh*3, 3); |
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cedge = Scalar::all(0); |
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image.copyTo(cedge, edge); |
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imshow("Edge map", cedge); |
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} |
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int main( int argc, char** argv ) |
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{ |
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char* filename = argc == 2 ? argv[1] : (char*)"fruits.jpg"; |
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image = imread(filename, 1); |
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if(image.empty()) |
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{ |
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help(); |
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return -1; |
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} |
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help(); |
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cedge.create(image.size(), image.type()); |
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cvtColor(image, gray, CV_BGR2GRAY); |
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// Create a window |
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namedWindow("Edge map", 1); |
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// create a toolbar |
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createTrackbar("Canny threshold", "Edge map", &edgeThresh, 100, onTrackbar); |
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// Show the image |
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onTrackbar(0, 0); |
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// Wait for a key stroke; the same function arranges events processing |
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waitKey(0); |
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return 0; |
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}
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