背景:在我们生活中常常需要我们用肉眼来计算某些物品的数量,如果通过人工操作会产生:①.效率低下；②.长时间的工作会导致眼睛疲劳导致错误的计算;为此,我们可以使用图像处理来检测方便我们.
代码如下：
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
Mat srcImage; //源图
Mat dstImage; //目标图
Mat grayImage;//灰度图
int Coin = 0; //硬币个数
string intToString(int number)
{
?? ?ostringstream ss;
?? ?ss << number;
?? ?return ss.str();
}
int main()
{
?? ?//载图
?? ?srcImage = imread("D:/photoes/coin.png");
?? ?if (srcImage.empty())
?? ?{
?? ??? ?cout << "fail to read the Image!" << endl;
?? ??? ?return -1;
?? ?}
?? ?//色彩空间转换
?? ?cvtColor(srcImage, grayImage,COLOR_BGR2GRAY);
?? ?//平滑滤波降噪
?? ?blur(grayImage, dstImage,Size(3,3));
?? ?//?? ?imshow("平滑降噪",dstImage);
?? ?//使用大津法阈值分割前景与背景
?? ?threshold(dstImage,dstImage,0,255,THRESH_OTSU);
?? ?//?? ?imshow("阈值分割",dstImage);
?? ?//孔洞填充
?? ?//floodFill(dstImage,Point(0,0),Scalar(255));
?? ?//imshow("空洞填充",dstImage);
?? ?
?? ?vector<vector<Point>> contours;
?? ?vector<Vec4i> hierarchy;?? ?
?? ?findContours(dstImage,contours,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_SIMPLE);
?? ?vector<vector<Point>> contours_poly(contours.size());
?? ?for (int i = 0; i < contours.size(); i++)
?? ?{
?? ??? ?approxPolyDP(contours[i], contours_poly[i], 3, true);
?? ??? ?//drawContours(dstImage, contours_poly, i, Scalar(255));
?? ??? ?Point2f center;
?? ??? ?float radius;
?? ??? ?minEnclosingCircle(contours_poly[i], center, radius);
?? ??? ?if (radius < 20)
?? ??? ??? ?continue;
?? ??? ?circle(dstImage,center,radius,Scalar(255),4);
?? ??? ?circle(srcImage, center, radius, Scalar(0,0,255), 1);
?? ??? ?Coin++;
?? ?}
?? ?//imshow("找轮廓填轮廓",dstImage);
?? ?string text = "detected coin's number:" + intToString(Coin);
?? ?int fontFace = FONT_HERSHEY_COMPLEX;
?? ?double fontScale = 1;
?? ?int thickness = 1;
?? ?Size textSize = getTextSize(text, fontFace, fontScale, thickness, 0);
?? ?Point org = Point(0, textSize.height);
?? ?putText(srcImage, text, org, fontFace, fontScale, Scalar(0,0,255), 1, 8);
?? ?imshow("原始图", srcImage);
?? ?waitKey(0);
}?? ?
?
效果图:
