#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)
{/// 加载源图像src = imread("d:6.jpg", 1);/// 转为灰度图并模糊化cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));/// 创建窗体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;/// 阈值化检测边界threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);/// 寻找轮廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));/*cout << hierarchy[7][3] << contours.size();*//// 对每个找到的轮廓创建可倾斜的边界框和椭圆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]));}}/// 绘出轮廓及其可倾斜的边界框和边界椭圆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);}/// 结果在窗体中显示namedWindow("Contours", CV_WINDOW_AUTOSIZE);imshow("Contours", drawing);
}