首先,从图像中检测出轮廓,然后再从轮廓中检索出椭圆轮廓。参考代码如下所示:
#include <opencv2/core/core.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/highgui/highgui.hpp> int main(int argc, char *argv[]){ cv::Mat src_img = cv::imread("test.jpg", 1); if(src_img.empty()) return -1; cv::Mat gray_img, bin_img; cv::cvtColor(src_img, gray_img, CV_BGR2GRAY); std::vector<std::vector<cv::Point> > contours; cv::threshold(gray_img, bin_img, 0, 255, cv::THRESH_BINARY|cv::THRESH_OTSU);// 图像的二值化 cv::findContours(bin_img, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);// 轮廓检测 for(int i = 0; i < contours.size(); ++i) { size_t count = contours[i].size(); if(count < 100 || count > 1000) continue; // (过大或过小)排除轮廓 cv::Mat pointsf; cv::Mat(contours[i]).convertTo(pointsf, CV_32F); cv::RotatedRect box = cv::fitEllipse(pointsf);// 椭圆形匹配 cv::ellipse(src_img, box, cv::Scalar(0,0,255), 2, CV_AA);// 绘制出椭圆 } cv::namedWindow("fit ellipse", CV_WINDOW_AUTOSIZE|CV_WINDOW_FREERATIO); cv::namedWindow("bin image", CV_WINDOW_AUTOSIZE|CV_WINDOW_FREERATIO); cv::imshow("fit ellipse", src_img); cv::imshow("bin image", bin_img); cv::waitKey(0); }
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原文地址:http://blog.csdn.net/utimes/article/details/27980465