1、fitEllipse函數

二維點集的橢圓擬合，，用橢圓將二維點包含起來

2、fitEllipse函數調用形式

C++:?RotatedRect?fitEllipse(InputArray?points)

函數的輸入是：二維點集

輸出是：RotatedRect的參數：包含中心點坐標，以及矩形的長度和寬度還有矩形的偏轉角度

第二步-----------------------畫出橢圓

2、

Ellipse函數

函數作用：根據輸入的橢圓參數畫出橢圓 函數形式： C++:?void?ellipse(Mat&img, const RotatedRect&box, const Scalar&?color, int?thickness=1, intlineType=8)

opencv代碼： #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> #include <stdio.h> #include <stdlib.h>using namespace cv; using namespace std;Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);/// Function header void thresh_callback(int, void*);/** @function main */ int main(int argc, char** argv) {/// 加載源圖像src = imread("d:6.jpg", 1);/// 轉為灰度圖并模糊化cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));/// 創建窗體char* source_window = "Source";namedWindow(source_window, CV_WINDOW_AUTOSIZE);imshow(source_window, src);createTrackbar(" Threshold:", "Source", &thresh, max_thresh, thresh_callback);thresh_callback(0, 0);waitKey(0);return(0); }/** @function thresh_callback */ void thresh_callback(int, void*) {Mat threshold_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;/// 閾值化檢測邊界threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);/// 尋找輪廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));/*cout << hierarchy[7][3] << contours.size();*//// 對每個找到的輪廓創建可傾斜的邊界框和橢圓vector<RotatedRect> minRect(contours.size());vector<RotatedRect> minEllipse(contours.size());for (int i = 0; i < contours.size(); i++){minRect[i] = minAreaRect(Mat(contours[i]));if (contours[i].size() > 5){minEllipse[i] = fitEllipse(Mat(contours[i]));}}/// 繪出輪廓及其可傾斜的邊界框和邊界橢圓Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);for (int i = 0; i< contours.size(); i++){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));// contourdrawContours(drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point());// ellipseellipse(drawing, minEllipse[i], color, 2, 8);// rotated rectanglePoint2f rect_points[4]; minRect[i].points(rect_points);for (int j = 0; j < 4; j++)line(drawing, rect_points[j], rect_points[(j + 1) % 4], color, 1, 8);}/// 結果在窗體中顯示namedWindow("Contours", CV_WINDOW_AUTOSIZE);imshow("Contours", drawing); }

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