opencv实现canopy算法

#include "stdafx.h"
using namespace cv;

int main(int argc, char** argv)
{
    Mat img=imread("d:/pic/lena.jpg");
    imshow("src",img);
    CV_Assert(!img.empty());
    vector<Mat> planes;
    split(img,planes);
    int total=img.total();
    Mat p(total,,CV_32F,Scalar::all());
    int i;
    for(i=;i<total;i++)
    {
        p.at<float>(i,)=planes[].data[i];
        p.at<float>(i,)=planes[].data[i];
        p.at<float>(i,)=planes[].data[i];
    }
    RNG rng();
    int num=;  //canopy个数
    double t1=200.0,t2=100.0; //两个距离阈值
    vector<Mat> canopy(total); //canopy矩阵组
    while(!p.empty())
    {

        int r=p.rows;  //余下的数据的行数
        Mat temp;
        int k=rng.uniform(,r);  //在余下的数据中随机抽选一个作为canopy中心
        cout<<"The rest of number of rows:  "<<r<<",    random:"<<k<<endl;
        for(i=;i<r;i++)
        {
            double d=norm(p.row(k),p.row(i));  //计算选出点和其它点的距离
            if(d<=t1)
                canopy[num].push_back(p.row(i));  //将距离小于t1的所有点放入到一个新的canopy中
            if(d>t2)
                temp.push_back(p.row(i));     //更新数据
        }
        temp.copyTo(p);
        num++;
    }
    cout<<"the total number of canopy:"<<num<<endl; //最终类别数
    for(i=;i<num;i++)
        cout<<"the number of "<<i+<<"  class: "<<canopy[i].total()<<endl;
    waitKey();
    return ;
}