contour count

检测 分离；

#include "opencv2/highgui/highgui.hpp"#include "opencv2/imgproc/imgproc.hpp"#include #include #include #include using namespace cv;using namespace std;//-----------------------------------【宏定义部分】--------------------------------------------//描述：定义一些辅助宏//------------------------------------------------------------------------------------------------#define WINDOW_NAME1 "old"//为窗口标题定义的宏#define WINDOW_NAME2 "update"        //为窗口标题定义的宏#define WINDOW_NAME3 "midTest"      //中间调试窗口#define WINDOW_WIDTH   658*2#define WINDOW_HEIHT   370*2#define SCALE      1//-----------------------------------【全局变量声明部分】--------------------------------------//描述：全局变量的声明//-----------------------------------------------------------------------------------------------static Mat g_srcImage;static Mat g_grayImage;static int g_nThresh = 150;static int g_nMaxThresh = 255;static RNG g_rng(12345);static Mat g_cannyMat_output;static vector > g_vContours;static vector g_vHierarchy;//-----------------------------------【全局变量声明部分】--------------------------------------//描述：全局变量的声明//-----------------------------------------------------------------------------------------------static void on_ThreshChange(int, void* );//aizj addstatic Mat  g_dstImage;//原始图和效果图static int g_nTrackbarNumer = 0;//0表示腐蚀erode, 1表示膨胀dilatestatic int g_nStructElementSize = 11; //结构元素(内核矩阵)寸#define TIMES_ERODE       50static void Process();//膨胀和腐蚀的处理函数static void on_TrackbarNumChange(int, void *);//回调函数static void on_ElementSizeChange(int, void *);//回调函数int main( int argc, char** argv ){        // 加载源图像    Mat  img1 = imread( "/Volumes/work/test/svn-cvTest/cvTest/ym1.jpg", 0 );        //Mat g_srcImage ;        resize(img1,g_srcImage,Size(1920,1080));        // 把原图像转化成灰度图像并进行平滑    //cvtColor( g_srcImage, g_grayImage, CV_BGR2GRAY );    blur( g_srcImage, g_grayImage, Size(3,3) );        // 创建新窗口    namedWindow( WINDOW_NAME1, CV_WINDOW_AUTOSIZE );    namedWindow(WINDOW_NAME3,  CV_WINDOW_AUTOSIZE);    Mat src2;    resize(g_srcImage, src2, cvSize(WINDOW_WIDTH, WINDOW_HEIHT));    imshow( WINDOW_NAME1, src2 );        //add by aizj    threshold(g_srcImage, g_srcImage, 150,255, 0);        //获取自定义核    Mat element = getStructuringElement(MORPH_ELLIPSE, Size(2*g_nStructElementSize+1, 2*g_nStructElementSize+1),Point( g_nStructElementSize, g_nStructElementSize ));    erode(g_srcImage, g_srcImage, element);        //创建轨迹条    // createTrackbar("dilate/erode", WINDOW_NAME1, &g_nTrackbarNumer, 1, on_TrackbarNumChange);    createTrackbar("kernelSize", WINDOW_NAME1, &g_nStructElementSize, 21, on_ElementSizeChange);    //end aizj        //创建滚动条并进行初始化    createTrackbar( "thresh", WINDOW_NAME1, &g_nThresh, g_nMaxThresh, on_ThreshChange );    //on_ThreshChange( 0, 0 );        //等待按键        waitKey(0);    return(0);}string int2str(int n) {        strstream ss;    string s;    ss << n;    ss >> s;        return s;}int sort_point(vector mc, int * valid, Mat &drawing){    if(mc.size() <2 )        return -1;        Point2f pt_tmp;    int i =0,j=0;    for(vector::iterator iter = mc.begin(); iter != mc.end(); ++iter){        if(i>0)            if( abs(iter->x - pt_tmp.x) < 1 || abs(iter->y - pt_tmp.y) < 1 ){                // mc.erase(iter);                cout<<"erase i: "< mu(g_vContours.size() );    for(unsigned int i = 0; i < g_vContours.size(); i++ )    { mu[i] = moments( g_vContours[i], false ); }        //  计算中心矩    vector mc( g_vContours.size() );        for( unsigned int i = 0; i < g_vContours.size(); i++ )    {        mc[i] = Point2f( static_cast(mu[i].m10/mu[i].m00), static_cast(mu[i].m01/mu[i].m00 ));    }        // 绘制轮廓    Mat drawing = Mat::zeros( g_cannyMat_output.size(), CV_8UC3 );        Scalar color = CV_RGB(255,255,255);    memset(mc_valid, 1, sizeof(mc_valid));    int sum = g_vContours.size();//sort_point(mc, mc_valid,drawing);    int j =0;    for( unsigned int i = 0; i< g_vContours.size(); i++ )    {        //Scalar color = Scalar( g_rng.uniform(0, 255), g_rng.uniform(0,255), g_rng.uniform(0,255) );//随机生成颜色值       // if(mc_valid[i] > 0  ){          //  j++;            j =i+1;            drawContours( drawing, g_vContours, i, Scalar(0,0,255), 2, 8, g_vHierarchy, 0, Point() );//绘制外层和内层轮廓            circle( drawing, mc[i], 3, Scalar(0,255,0), -1, 0.1f, 0 );//绘制圆            cout<<"int2str: "<通过m00计算出轮廓[%d]的面积: (M_00) = %.2f \n OpenCV函数计算出的面积=%.2f , 长度: %.2f \n\n", mc_valid[i],i, mu[i].m00, contourArea(g_vContours[i]), arcLength( g_vContours[i], true ) );       // Scalar color = Scalar( g_rng.uniform(0, 255), g_rng.uniform(0,255), g_rng.uniform(0,255) );       // drawContours( drawing, g_vContours, i, color, 2, 8, g_vHierarchy, 0, Point() );       // circle( drawing, mc[i], 4, color, -1, 1, 0 );            }    }//-----------------------------【Process( )函数】------------------------------------//描述：进行自定义的腐蚀和膨胀操作//-----------------------------------------------------------------------------------------void Process(){    //获取自定义核    //Mat element = getStructuringElement(MORPH_ELLIPSE, Size(2*g_nStructElementSize+1, 2*g_nStructElementSize+1),Point( g_nStructElementSize, g_nStructElementSize ));    Mat element = getStructuringElement(MORPH_ELLIPSE, Size(2*g_nStructElementSize+1, 2*g_nStructElementSize+1));        //进行腐蚀或膨胀操作    int i= TIMES_ERODE;    printf("g_nStructElementSize=%d\n",g_nStructElementSize);    while (i--) {            //erode(g_srcImage, g_grayImage, element);            morphologyEx(g_srcImage, g_grayImage, MORPH_OPEN, element);            }        //显示效果图    Mat g_gray2;    resize(g_grayImage, g_gray2, cvSize(WINDOW_WIDTH, WINDOW_HEIHT));    imshow(WINDOW_NAME2, g_gray2);}//-----------------------------【on_ElementSizeChange( )函数】-------------------------------------//描述：腐蚀和膨胀操作内核改变时的回调函数//-----------------------------------------------------------------------------------------------------void on_ElementSizeChange(int, void *){    //内核尺寸已改变，回调函数体内需调用一次Process函数，使改变后的效果立即生效并显示出来    Process();}