opencv 对象计数

#include <QCoreApplication>
#include "opencv2/opencv.hpp"

using namespace cv;
using namespace std;
//对象计数

int main()
{

    src=imread("../image/13.png");
    if(src.empty())
    {
        printf("could not load image ...");
        return ;
    }
    imshow("src",src);

    cvtColor(src,gray,CV_BGR2GRAY);
 imshow("gray",gray);
    Mat binary;
    //二值化
    threshold(gray,binary,0,255,THRESH_BINARY|THRESH_TRIANGLE);

    imshow("output",binary);
    //形态学操作
    Mat kernel=getStructuringElement(MORPH_RECT,Size(3,3),Point(-1,-1));
    //腐蚀操作
   dilate(binary,binary,kernel,Point(-1,-1),1);
   imshow("output1",binary);

   // 距离变换
   Mat dist;
   bitwise_not(binary,binary);
   //距离变换函数
   distanceTransform(binary,dist,CV_DIST_L2,3);
   //归一化操作
    normalize(dist,dist,0,1.0,NORM_MINMAX);
   imshow("output2",dist);
   Mat dst;
   // threshold(dist,dst,0.6,1.0,THRESH_BINARY);
   //阈值化二值分割
   Mat dist_8u;
   dist.convertTo(dist_8u,CV_8U);

   adaptiveThreshold(dist_8u,dist_8u,255,ADAPTIVE_THRESH_GAUSSIAN_C,THRESH_BINARY,85,0.0);

   dilate(dist_8u,dist_8u,kernel,Point(-1,-1),2);
//   normalize(dist_8u,dist_8u,0,1.0,NORM_MINMAX);
    imshow("output3",dist_8u);


//连通区域技术
    vector<vector<Point>> contours;
    findContours(dist_8u,contours,CV_RETR_EXTERNAL,CHAIN_APPROX_SIMPLE);

    //draw result
    Mat markers=Mat::zeros(src.size(),CV_8UC3);
    RNG rng(12345);

    for(int i=0;i<contours.size();i++)
    {

        drawContours(markers,contours,i,Scalar(rng.uniform(0,255),rng.uniform(0,255),rng.uniform(0,255)),-1,8,Mat());
        Rect rect=boundingRect(contours[i]);
        string str=to_string(i+1);
        double area=contourArea(contours[i]);
        printf("%d号玉米的面积是%2f\n",i+1,area);
        putText(markers,str,Point(rect.x,rect.y),CV_FONT_NORMAL,0.5,Scalar(0,0,255),1,8,0);
    }

    printf("玉米有%d粒\n",contours.size());
    imshow("markers",markers);
    waitKey(0);
    return 0;
}