#include "opencv2/opencv.hpp"

 using namespace cv;

 void main()

 {

     //外接矩形的查找绘制

     Mat srcImg =imread("E://12.jpg");

     imshow("src",srcImg);

     Mat dstImg = srcImg.clone();  //原图备份

     cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图

     threshold(srcImg, srcImg, , , CV_THRESH_BINARY); //二值化

     vector<vector<Point>> contours;

     vector<Vec4i> hierarcy;

     findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CHAIN_APPROX_NONE); //查找轮廓

     vector<Rect> boundRect(contours.size()); //定义外接矩形集合

     //drawContours(dstImg, contours, -1, Scalar(0, 0, 255), 2, 8);  //绘制轮廓

     int x0=, y0=, w0=, h0=;

     for(int i=; i<contours.size(); i++)

     {

         boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形

         drawContours(dstImg, contours, i, Scalar(, , ), , );  //绘制轮廓

         x0 = boundRect[i].x;  //获得第i个外接矩形的左上角的x坐标

         y0 = boundRect[i].y; //获得第i个外接矩形的左上角的y坐标

         w0 = boundRect[i].width; //获得第i个外接矩形的宽度

         h0 = boundRect[i].height; //获得第i个外接矩形的高度

         rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(, , ), , ); //绘制第i个外接矩形

     }

     imshow("boundRect", dstImg);

     waitKey();

 }

 #include "opencv2/opencv.hpp"

 #include<iostream>

 using namespace cv;

 using namespace std;

 void main()

 {

     //分割硬币轮廓

     Mat srcImg =imread("E://33.png");

     imshow("src", srcImg);

     Mat dstImg = srcImg.clone();  //原图备份

     cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图

     threshold(srcImg, srcImg, , , CV_THRESH_BINARY); //二值化

     Mat element = getStructuringElement(MORPH_RECT, Size(, ), Point(-, -)); //获得结构元素

     dilate(srcImg, srcImg, element); //膨胀操作

     imshow("dilate",srcImg);

     vector<vector<Point>> contours;

     vector<Vec4i> hierarcy;

     findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CHAIN_APPROX_NONE); //查找轮廓

     vector<Rect> boundRect(contours.size()); //定义外接矩形集合

     int x0=, y0=, w0=, h0=,num=;

     for(int i=; i<contours.size(); i++)

     {

         boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形

         drawContours(dstImg, contours, i, Scalar(, , ), , );  //绘制轮廓

         x0 = boundRect[i].x;

         y0 = boundRect[i].y;

         w0 = boundRect[i].width;

         h0 = boundRect[i].height;

         if(w0> && h0>)//筛选

         {

             rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(, , ), , ); //绘制第i个外接矩形

             num++;

         }

     }

     cout<<"硬币数量："<<num;

     imshow("boundRect", dstImg);

     waitKey();

 }

 #include "opencv2/opencv.hpp"

 using namespace cv;

 void main()

 {

     //---简单车牌字符分隔

     Mat srcImg =imread("E://Car2.jpg");

     Mat dstImg = srcImg.clone();  //原图备份

     medianBlur(srcImg, srcImg, );  //中值滤波

     cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图

     threshold(srcImg, srcImg, , , CV_THRESH_BINARY); //二值化

     imshow("threshold", srcImg);

     imwrite("F://car0.jpg", srcImg);

     vector<vector<Point>> contours;

     vector<Vec4i> hierarcy;

     findContours(srcImg, contours, hierarcy, CV_RETR_TREE, CHAIN_APPROX_NONE); //查找所有轮廓

     vector<Rect> boundRect(contours.size()); //定义外接矩形集合

     int x0=, y0=, w0=, h0=;

     for(int i=; i<contours.size(); i++)

     {

         boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形

         x0 = boundRect[i].x;

         y0 = boundRect[i].y;

         w0 = boundRect[i].width;

         h0 = boundRect[i].height;

         if(w0>srcImg.cols/ && w0<srcImg.cols/ && h0>srcImg.rows/ && h0<srcImg.rows*/)

         {

             char pic_name[];

             sprintf(pic_name, "F:\\%d.bmp", i);

             Mat ROI = dstImg(Rect(x0, y0, w0, h0));

             imwrite(pic_name, ROI);

             rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(, , ), , ); //绘制第i个外接矩形

         }

     }

     imshow("boundRect", dstImg);

     waitKey();

 }