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opencv识别直线并显示文本

用opencv 的houghlinep函数识别直线,再在图片上显示直线角度(方位)

源代码如下


#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

#include <iostream>
#include <math.h>
#include <string>

using namespace cv;
using namespace std;

static void help()
{
    cout << "\nThis program demonstrates line finding with the Hough transform.\n"
            "Usage:\n"
            "./houghlines <image_name>, Default is ../data/pic1.png\n" << endl;
}

int main(int argc, char** argv)
{
    const char* filename = argc >= 2 ? argv[1] : "G:\\DevelopToolLib\\opencv-3.0beta\\opencv\\sources\\samples\\data\\cross2.jpg";

    Mat src = imread(filename, 0);
    if(src.empty())
    {
        help();
        cout << "can not open " << filename << endl;
        return -1;
    }

    Mat dst,rdst, cdst;
	

	resize(src,rdst,Size(),0.5,0.5);
	Mat imgroi = rdst(Rect(650,0,100,200));
    Canny(imgroi, dst, 50, 200, 3);
    cvtColor(dst, cdst, COLOR_GRAY2BGR);

#if 0
    vector<Vec2f> lines;
    HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0 );

    for( size_t i = 0; i < lines.size(); i++ )
    {
        float rho = lines[i][0], theta = lines[i][1];
        Point pt1, pt2;
        double a = cos(theta), b = sin(theta);
        double x0 = a*rho, y0 = b*rho;
        pt1.x = cvRound(x0 + 1000*(-b));
        pt1.y = cvRound(y0 + 1000*(a));
        pt2.x = cvRound(x0 - 1000*(-b));
        pt2.y = cvRound(y0 - 1000*(a));
        line( cdst, pt1, pt2, Scalar(0,0,255), 3, CV_AA);
    }
#else
    vector<Vec4i> lines;
    HoughLinesP(dst, lines, 1, CV_PI/180, 50, 50, 10 );
    for( size_t i = 0; i < lines.size(); i++ )
    {
        Vec4i l = lines[i];
		long double angle;
		string text;
        line( cdst, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0,0,255), 3, LINE_AA);

		angle = atan(long double((l[3]-l[1])/(l[2]-l[0])))*180/3.1415926;
		text = to_string(angle);
		putText(cdst,text,Point(0,50),FONT_HERSHEY_SIMPLEX,0.5,Scalar(255,0,0),1,8,false);
    }
#endif
    imshow("source", rdst);
    imshow("detected lines", cdst);

    waitKey();

    return 0;
}



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