opencv识别直线并显示文本

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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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