Hough

来源：互联网发布：人工智能利与弊演讲ppt 编辑：程序博客网时间：2024/05/19 01:33

#include <opencv2/opencv.hpp>#include <opencv2/imgproc/imgproc.hpp>using namespace cv;using namespace std;int main( ){    Mat srcImage = imread("fore.jpg");    Mat midImage,dstImage;    Canny(srcImage, midImage, 50, 200, 3);    cvtColor(midImage,dstImage, CV_GRAY2BGR);    vector<Vec2f> lines;    HoughLines(midImage, lines, 1, CV_PI/180, 150, 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( dstImage, pt1, pt2, Scalar(55,100,195), 1, CV_AA);    }    namedWindow("original image",WINDOW_NORMAL);    namedWindow("canny",WINDOW_NORMAL);    namedWindow("hough",WINDOW_NORMAL);    imshow("original image", srcImage);    imshow("canny", midImage);    imshow("hough", dstImage);    waitKey(0);    return 0;}

这里写图片描述

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