源码如下:
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include
#include
#include
using namespace cv;
using namespace std;
// 函数声明
void thresh_callback(int, void*);
//数据说明
Mat src;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
int width22 = 2160, higth22 = 1440; //自定义展示图像的效果图大小
/** @主函数 */
int main()
{
src = imread("D://xlxl//pp2.jpg", 1); // 载入原图像, 返回3通道图像
cvtColor(src, src_gray, COLOR_BGR2GRAY); // 转化成灰度图像
blur(src_gray, src_gray, Size(30, 30)); //灰度图像进行平滑处理
char* source_window01 = "灰度平滑处理图"; // 创建窗口
namedWindow(source_window01, WINDOW_AUTOSIZE);
resizeWindow(source_window01, width22, higth22);
moveWindow(source_window01, 0, 0);
imshow(source_window01, src);
createTrackbar(" Threshold:", "Source", &thresh, max_thresh, thresh_callback);
thresh_callback(0, 0);
waitKey(10);
return(0);
}
void thresh_callback(int, void*)
{
Mat threshold_output;
vector > contours;
vector hierarchy;
// 使用Threshold检测边缘
threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);
findContours(threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0)); //找到轮廓
//多边形逼近轮廓 + 获取矩形和圆形边界框
vector > contours_poly(contours.size());
vector boundRect(contours.size());
vectorcenter(contours.size());
vectorradius(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]);
}
// 画多边形轮廓 + 包围的矩形框 + 圆形框
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(), 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);
}
// 显示在一个窗口
/*namedWindow("Contours", WINDOW_AUTOSIZE);
imshow("Contours", drawing);*/
char* source_window02 = "检测边框图"; // 创建窗口
namedWindow(source_window02, WINDOW_AUTOSIZE);
resizeWindow(source_window02, width22, higth22);
moveWindow(source_window02, width22, higth22);
imshow(source_window02, drawing);
waitKey(0);
}
原文地址:http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/imgproc/shapedescriptors/bounding_rects_circles/bounding_rects_circles.html、
基本功能
//使用OpenCV函数 boundingRect 来计算包围轮廓的矩形框.
//使用OpenCV函数 minEnclosingCircle 来计算完全包围已有轮廓最小圆.
效果如图: