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Open Source Computer Vision Library
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67 lines
1.4 KiB
67 lines
1.4 KiB
#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include <stdio.h> |
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using namespace cv; |
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using namespace std; |
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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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void help() |
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{ |
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printf("\nThis sample demonstrates Canny edge detection\n" |
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"Call:\n" |
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" /.edge [image_name -- Default is fruits.jpg]\n\n"); |
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} |
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const char* keys = |
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{ |
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"{1| |fruits.jpg|input image name}" |
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}; |
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int main( int argc, const char** argv ) |
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{ |
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help(); |
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CommandLineParser parser(argc, argv, keys); |
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string filename = parser.get<string>("1"); |
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image = imread(filename, 1); |
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if(image.empty()) |
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{ |
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printf("Cannot read image file: %s\n", filename.c_str()); |
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help(); |
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return -1; |
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} |
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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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