#include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <iostream> #include <stdio.h> using namespace std; using namespace cv; void find_centrepoint(Mat image, Point ¢repoint, RotatedRect &max_Rect) { Mat element = getStructuringElement(MORPH_ELLIPSE, Size(9, 9)); morphologyEx(image, image, MORPH_OPEN, element); morphologyEx(image, image, MORPH_CLOSE, element); Mat cannyImage; Canny(image, cannyImage, 125, 250, 3); vector<vector<Point>> contours; vector<Vec4i> hierarchy; findContours(cannyImage, contours, hierarchy, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE); //vector<vector<Point> > contours_poly(contours.size()); vector<RotatedRect> boundRect(contours.size()); for (size_t i = 0; i < contours.size(); i++) { //approxPolyDP(Mat(contours[i]), contours_poly[i], 3, true); boundRect[i] = minAreaRect(Mat(contours[i])); } vector<Point> max_contour; int area = 0; int idx; for (size_t i = 0; i < contours.size(); i++) { int t_area = boundRect[i].size.area(); if (t_area>area) { max_contour = contours[i]; max_Rect = boundRect[i]; area = t_area; idx = i; } } centrepoint.x = max_Rect.center.x; centrepoint.y = max_Rect.center.y; Point2f P[4]; max_Rect.points(P); for (int j = 0; j <= 3; j++) { line(image, P[j], P[(j + 1) % 4], Scalar(255), 2); } //rectangle(image, max_Rect.tl(), max_Rect.br(), Scalar(255), 4); //drawContours(image, contours, idx, Scalar(255), 2, 8); } int main(int args, char** argv) { Mat srcImage = imread("D:\Documents\BasedCam2 Files\Picture\贴膜机\镜头2\2018-03-07_15-47-48_030.bmp"); if (!srcImage.data) { cout << "读取图像失败" << endl; return -1; } cvtColor(srcImage, srcImage, CV_BGR2GRAY); namedWindow("原图像", 0); resizeWindow("原图像", srcImage.cols / 4, srcImage.rows / 4); imshow("原图像", srcImage); Mat T = Mat(srcImage.size(), srcImage.type()); adaptiveThreshold(srcImage, T, 255, ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, 25, 5); Point centrePoint1; RotatedRect max_Rect1; find_centrepoint(T, centrePoint1, max_Rect1); Mat medImage; medianBlur(srcImage, medImage, 9); Mat binaryImage; threshold(medImage, binaryImage, 128, 255, THRESH_BINARY); Point centrePoint2; RotatedRect max_Rect2; find_centrepoint(binaryImage, centrePoint2, max_Rect2); namedWindow("圆外接矩形", 0); resizeWindow("圆外接矩形", srcImage.cols / 4, srcImage.rows / 4); imshow("圆外接矩形", T); namedWindow("膜接矩形", 0); resizeWindow("膜接矩形", srcImage.cols / 4, srcImage.rows / 4); imshow("膜接矩形", binaryImage); waitKey(0); return 0; } //Mat midImage, dstImage; //double fScale = 0.5; //Size dsize = Size(srcImage.cols*fScale, srcImage.rows*fScale); //resize(srcImage, srcImage,dsize); ////imshow("【原始图】", srcImage); //cvtColor(srcImage, midImage, CV_BGR2GRAY);//转化边缘检测后的图为灰度图 ////medianBlur(midImage, midImage, 9); ////bilateralFilter(midImage, midImage, 5, 10,10); //imshow("【原始图】", midImage); //vector<Vec3f> circles; //HoughCircles(midImage, circles, CV_HOUGH_GRADIENT, 1, 50, 100, 50, 200, 0); ////依次在图中绘制出圆 //for (size_t i = 0; i < circles.size(); i++) //{ // Point center(cvRound(circles[i][0]), cvRound(circles[i][1])); // int radius = cvRound(circles[i][2]); // //绘制圆心 // circle(srcImage, center, 3, Scalar(0, 255, 0), -1, 8, 0); // //绘制圆轮廓 // circle(srcImage, center, radius, Scalar(155, 50, 255), 3, 8, 0); //} //for (size_t i = 0; i< contours.size(); i++) //{ // // drawContours(drawing, contours_poly, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point()); // rectangle(T, boundRect[i].tl(), boundRect[i].br(), Scalar(255), 4, 8, 0); // // circle(drawing, center[i], (int)radius[i], color, 2, 8, 0); // printf("%d - (%d,%d),(%d,%d) ", i, boundRect[i].x, boundRect[i].y, boundRect[i].width, boundRect[i].height); //} //for (size_t i = 0; i < contours.size(); i++) //{ // drawContours(T, contours, i, Scalar(255), 1, 8); //} //for (int i = 0; i < srcImage.rows; ++i) // { // for (int j = 0; j < srcImage.cols; ++j) // { // if (srcImage.at<uchar>(i, j) <= meanImage.at<uchar>(i, j) - 5) // { // T.at<uchar>(i, j) = 255; // } // else // { // T.at<uchar>(i, j) = 0; // } // } // }