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Open Source Computer Vision Library
https://opencv.org/
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64 lines
1.6 KiB
64 lines
1.6 KiB
#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/imgproc/imgproc.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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static void help() |
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{ |
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cout << "\nThis program demonstrates line finding with the Hough transform.\n" |
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"Usage:\n" |
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"./houghlines <image_name>, Default is ../data/pic1.png\n" << endl; |
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} |
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int main(int argc, char** argv) |
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{ |
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const char* filename = argc >= 2 ? argv[1] : "../data/pic1.png"; |
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Mat src = imread(filename, 0); |
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if(src.empty()) |
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{ |
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help(); |
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cout << "can not open " << filename << endl; |
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return -1; |
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} |
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Mat dst, cdst; |
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Canny(src, dst, 50, 200, 3); |
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cvtColor(dst, cdst, COLOR_GRAY2BGR); |
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#if 0 |
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vector<Vec2f> lines; |
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HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0 ); |
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for( size_t i = 0; i < lines.size(); i++ ) |
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{ |
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float rho = lines[i][0], theta = lines[i][1]; |
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Point pt1, pt2; |
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double a = cos(theta), b = sin(theta); |
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double x0 = a*rho, y0 = b*rho; |
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pt1.x = cvRound(x0 + 1000*(-b)); |
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pt1.y = cvRound(y0 + 1000*(a)); |
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pt2.x = cvRound(x0 - 1000*(-b)); |
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pt2.y = cvRound(y0 - 1000*(a)); |
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line( cdst, pt1, pt2, Scalar(0,0,255), 3, CV_AA); |
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} |
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#else |
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vector<Vec4i> lines; |
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HoughLinesP(dst, lines, 1, CV_PI/180, 50, 50, 10 ); |
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for( size_t i = 0; i < lines.size(); i++ ) |
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{ |
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Vec4i l = lines[i]; |
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line( cdst, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, LINE_AA); |
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} |
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#endif |
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imshow("source", src); |
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imshow("detected lines", cdst); |
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waitKey(); |
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return 0; |
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}
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