78 lines
1.9 KiB
C++
78 lines
1.9 KiB
C++
#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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cv::CommandLineParser parser(argc, argv,
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"{help h||}{@image|../data/pic1.png|}"
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);
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if (parser.has("help"))
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{
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help();
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return 0;
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}
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string filename = parser.get<string>("@image");
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if (filename.empty())
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{
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help();
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cout << "no image_name provided" << endl;
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return -1;
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}
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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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