1、minEnclosingCircle函數

函數作用：

得到包含二維點集的最小圓

2、minEnclosingCircle函數調用形式

C++:?void?minEnclosingCircle(InputArray?points, Point2f&?center, float&?radius)

參數詳解：

InputArray?points：輸入的二維點集

Point2f&?center：表示輸出的圓形的中心坐標，是float型

float&?radius：輸出的最小圓的半徑，是float型

3、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);/// 函數聲明 void thresh_callback(int, void*);/** @主函數 */ int main(int argc, char** argv) {/// 載入原圖像, 返回3通道圖像src = imread("D:6.jpg", 1);/// 轉化成灰度圖像并進行平滑cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));/// 創建窗口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); }/** @thresh_callback 函數 */ void thresh_callback(int, void*) {Mat threshold_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;/// 使用Threshold檢測邊緣threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);/// 找到輪廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));/// 多邊形逼近輪廓 + 獲取矩形和圓形邊界框vector<vector<Point> > contours_poly(contours.size());vector<Rect> boundRect(contours.size());vector<Point2f>center(contours.size());vector<float>radius(contours.size());//for (int i = 0; i < contours.size(); i++)//{// approxPolyDP(Mat(contours[i]), contours_poly[i], 3, true);// boundRect[i] = boundingRect(Mat(contours_poly[i]));// minEnclosingCircle(contours_poly[i], center[i], radius[i]);//}for (int i = 0; i < contours.size(); i++){approxPolyDP(Mat(contours[i]), contours_poly[i], 3, true);boundRect[i] = boundingRect(Mat(contours[i]));minEnclosingCircle(contours[i], center[i], radius[i]);}/// 畫多邊形輪廓 + 包圍的矩形框 + 圓形框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));drawContours(drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point());rectangle(drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0);circle(drawing, center[i], (int)radius[i], color, 2, 8, 0);}/// 顯示在一個窗口namedWindow("Contours", CV_WINDOW_AUTOSIZE);imshow("Contours", drawing); }

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