# include "stdafx.h"
# include "opencv2/core/core.hpp"
# include "opencv2/highgui/highgui.hpp"
# include "opencv2/imgproc/imgproc.hpp"

# include <iostream >
# include <stdio.h >
# include <stdlib.h >
# include <math.h >

# include "GOCVHelper.h"

using namespace cv;
using namespace std;
using namespace GO;
RNG  rng2( 12345);
//根据轮廓的圆的特性进行选择
vector <VP >  selectShapeCircularity(Mat src,Mat & draw,vector <VP > contours, float minvalue, float maxvalue);
vector <VP >  selectShapeCircularity(vector <VP > contours, float minvalue, float maxvalue);
//计算轮廓的圆的特性
float calculateCircularity(VP contour);
//根据轮廓的圆的特性进行选择
vector <VP > selectShapeCircularity(Mat src,Mat & draw,vector <VP > contours, float minvalue, float maxvalue){
    vector <VP > result_contours;
    draw = Mat : :zeros(src.rows,src.cols,CV_8UC3);
    for ( int i = 0;i <contours.size();i ++){
        float fcompare = calculateCircularity(contours[i]);
        if (fcompare > =minvalue && fcompare < =maxvalue)
            result_contours.push_back(contours[i]);
    }
    for ( int i = 0;i <result_contours.size();i ++){
        Scalar  color  = Scalar(rng2.uniform( 0, 255),rng2.uniform( 0, 255),rng2.uniform( 0, 255));
        drawContours(draw,result_contours,i,color, - 1);
    }
    return result_contours;
}
vector <VP > selectShapeCircularity(vector <VP > contours, float minvalue, float maxvalue){
    vector <VP > result_contours;
    for ( int i = 0;i <contours.size();i ++){
        float fcompare = calculateCircularity(contours[i]);
        if (fcompare > =minvalue && fcompare < =maxvalue)
            result_contours.push_back(contours[i]);
    }
    return result_contours;
}
//计算轮廓的圆的特性
float calculateCircularity(VP contour){
    Point2f center;
    float radius = 0;
    minEnclosingCircle((Mat)contour,center,radius);
    //以最小外接圆半径作为数学期望，计算轮廓上各点到圆心距离的标准差
    float fsum = 0;
    float fcompare = 0;
    for ( int i = 0;i <contour.size();i ++){   
        Point2f ptmp = contour[i];
        float fdistenct = sqrt(( float)((ptmp.x - center.x) *(ptmp.x - center.x) +(ptmp.y - center.y) *(ptmp.y -center.y)));
        float fdiff = abs(fdistenct - radius);
        fsum = fsum + fdiff;
    }
    fcompare = fsum /( float)contour.size();
    return fcompare;
}

int _tmain( int argc, _TCHAR * argv[])
{
    //读入灰度的手部图像
    Mat src = imread( "e:/sandbox/kong.jpg");
    Mat dst = src.clone();
    Mat tmp;
    Mat draw;
    vector <VP > contours;
    vector <VP > results;
    vector <Mat > planes;
    cvtColor(src,src,COLOR_BGR2HSV);
    split(src,planes);
    //v通道
    tmp = planes[ 2].clone();
    //去除毛刺
    GaussianBlur(tmp,tmp,Size( 3, 3), 0);
    //阈值处理
    threshold(tmp,tmp, 100, 255,THRESH_OTSU);
    //反向
    bitwise_not(tmp,tmp);
    //形态学
    erode(tmp,tmp,Mat());
    dilate(tmp,tmp,Mat());
    //绘制联通区域
    contours = GO : :connection2(tmp,draw);
    //轮廓分析(圆特性）
    results = selectShapeCircularity(tmp,draw,contours,    100, 500);
    //原图绘制
    drawContours(dst,results, 0,Scalar( 0, 0, 255), 3);
    imshow( "result",dst);
    waitKey();
    return 0;
}