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 add static 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dilate static int g_nStructElementSize = 11; //结构元素(内核矩阵)寸 #define TIMES_ERODE 50 static 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: "< 
                 
                   <<" mc: "< 
                  
                    < 
                   
                     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(); }