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Open Source Computer Vision Library
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74 lines
2.1 KiB
74 lines
2.1 KiB
#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.hpp" |
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#include <iostream> |
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using namespace std; |
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using namespace cv; |
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int main( int argc, const char** argv ) |
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{ |
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CommandLineParser parser(argc, argv, |
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"{ i | lena_tmpl.jpg |image name }" |
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"{ t | tmpl.png |template name }" |
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"{ m | mask.png |mask name }" |
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"{ cm| 3 |comparison method }"); |
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cout << "This program demonstrates the use of template matching with mask." << endl |
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<< endl |
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<< "Available methods: https://docs.opencv.org/4.x/df/dfb/group__imgproc__object.html#ga3a7850640f1fe1f58fe91a2d7583695d" << endl |
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<< " TM_SQDIFF = " << (int)TM_SQDIFF << endl |
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<< " TM_SQDIFF_NORMED = " << (int)TM_SQDIFF_NORMED << endl |
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<< " TM_CCORR = " << (int)TM_CCORR << endl |
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<< " TM_CCORR_NORMED = " << (int)TM_CCORR_NORMED << endl |
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<< " TM_CCOEFF = " << (int)TM_CCOEFF << endl |
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<< " TM_CCOEFF_NORMED = " << (int)TM_CCOEFF_NORMED << endl |
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<< endl; |
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parser.printMessage(); |
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string filename = samples::findFile(parser.get<string>("i")); |
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string tmplname = samples::findFile(parser.get<string>("t")); |
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string maskname = samples::findFile(parser.get<string>("m")); |
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Mat img = imread(filename); |
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Mat tmpl = imread(tmplname); |
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Mat mask = imread(maskname); |
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Mat res; |
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if(img.empty()) |
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{ |
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cout << "can not open " << filename << endl; |
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return -1; |
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} |
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if(tmpl.empty()) |
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{ |
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cout << "can not open " << tmplname << endl; |
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return -1; |
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} |
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if(mask.empty()) |
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{ |
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cout << "can not open " << maskname << endl; |
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return -1; |
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} |
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int method = parser.get<int>("cm"); // default 3 (CV_TM_CCORR_NORMED) |
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matchTemplate(img, tmpl, res, method, mask); |
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double minVal, maxVal; |
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Point minLoc, maxLoc; |
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Rect rect; |
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minMaxLoc(res, &minVal, &maxVal, &minLoc, &maxLoc); |
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if(method == TM_SQDIFF || method == TM_SQDIFF_NORMED) |
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rect = Rect(minLoc, tmpl.size()); |
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else |
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rect = Rect(maxLoc, tmpl.size()); |
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rectangle(img, rect, Scalar(0, 255, 0), 2); |
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imshow("detected template", img); |
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waitKey(); |
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return 0; |
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}
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