一、简介
二、外接矩形的查找绘制
1 #include "opencv2/opencv.hpp"
2 using namespace cv;
3 void main()
4 {
5 //外接矩形的查找绘制
6 Mat srcImg =imread("E://12.jpg");
7 imshow("src",srcImg);
8 Mat dstImg = srcImg.clone(); //原图备份
9 cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图
10 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); //二值化
11
12 vector<vector<Point>> contours;
13 vector<Vec4i> hierarcy;
14 findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CHAIN_APPROX_NONE); //查找轮廓
15 vector<Rect> boundRect(contours.size()); //定义外接矩形集合
16 //drawContours(dstImg, contours, -1, Scalar(0, 0, 255), 2, 8); //绘制轮廓
17 int x0=0, y0=0, w0=0, h0=0;
18 for(int i=0; i<contours.size(); i++)
19 {
20 boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形
21 drawContours(dstImg, contours, i, Scalar(0, 0, 255), 2, 8); //绘制轮廓
22 x0 = boundRect[i].x; //获得第i个外接矩形的左上角的x坐标
23 y0 = boundRect[i].y; //获得第i个外接矩形的左上角的y坐标
24 w0 = boundRect[i].width; //获得第i个外接矩形的宽度
25 h0 = boundRect[i].height; //获得第i个外接矩形的高度
26 rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(0, 255, 0), 2, 8); //绘制第i个外接矩形
27 }
28 imshow("boundRect", dstImg);
29 waitKey(0);
30 }
三、分割硬币轮廓并计数
1 #include "opencv2/opencv.hpp"
2 #include<iostream>
3 using namespace cv;
4 using namespace std;
5 void main()
6 {
7 //分割硬币轮廓
8 Mat srcImg =imread("E://33.png");
9 imshow("src", srcImg);
10 Mat dstImg = srcImg.clone(); //原图备份
11 cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图
12 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); //二值化
13 Mat element = getStructuringElement(MORPH_RECT, Size(3, 3), Point(-1, -1)); //获得结构元素
14 dilate(srcImg, srcImg, element); //膨胀操作
15 imshow("dilate",srcImg);
16
17 vector<vector<Point>> contours;
18 vector<Vec4i> hierarcy;
19 findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CHAIN_APPROX_NONE); //查找轮廓
20 vector<Rect> boundRect(contours.size()); //定义外接矩形集合
21 int x0=0, y0=0, w0=0, h0=0,num=0;
22 for(int i=0; i<contours.size(); i++)
23 {
24 boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形
25 drawContours(dstImg, contours, i, Scalar(0, 0, 255), 2, 8); //绘制轮廓
26 x0 = boundRect[i].x;
27 y0 = boundRect[i].y;
28 w0 = boundRect[i].width;
29 h0 = boundRect[i].height;
30 if(w0>30 && h0>30)//筛选
31 {
32 rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(0, 255, 0), 2, 8); //绘制第i个外接矩形
33 num++;
34 }
35 }
36 cout<<"硬币数量："<<num;
37 imshow("boundRect", dstImg);
38 waitKey(0);
39 }
四、简单车牌字符分隔
1 #include "opencv2/opencv.hpp"
2 using namespace cv;
3 void main()
4 {
5 //---简单车牌字符分隔
6 Mat srcImg =imread("E://Car2.jpg");
7 Mat dstImg = srcImg.clone(); //原图备份
8 medianBlur(srcImg, srcImg, 5); //中值滤波
9 cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图
10 threshold(srcImg, srcImg, 100, 255, CV_THRESH_BINARY); //二值化
11 imshow("threshold", srcImg);
12 imwrite("F://car0.jpg", srcImg);
13
14 vector<vector<Point>> contours;
15 vector<Vec4i> hierarcy;
16 findContours(srcImg, contours, hierarcy, CV_RETR_TREE, CHAIN_APPROX_NONE); //查找所有轮廓
17 vector<Rect> boundRect(contours.size()); //定义外接矩形集合
18 int x0=0, y0=0, w0=0, h0=0;
19 for(int i=0; i<contours.size(); i++)
20 {
21 boundRect[i] = boundingRect((Mat)contours[i]); //查找每个轮廓的外接矩形
22 x0 = boundRect[i].x;
23 y0 = boundRect[i].y;
24 w0 = boundRect[i].width;
25 h0 = boundRect[i].height;
26 if(w0>srcImg.cols/12 && w0<srcImg.cols/5 && h0>srcImg.rows/6 && h0<srcImg.rows*5/6)
27 {
28 char pic_name[10];
29 sprintf(pic_name, "F:\\%d.bmp", i);
30 Mat ROI = dstImg(Rect(x0, y0, w0, h0));
31 imwrite(pic_name, ROI);
32 rectangle(dstImg, Point(x0, y0), Point(x0+w0, y0+h0), Scalar(0, 255, 0), 2, 8); //绘制第i个外接矩形
33 }
34 }
35 imshow("boundRect", dstImg);
36 waitKey(0);
37 }
