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 }
