#include <opencv2/opencv.hpp>

 using namespace cv;

 int main()

 {

     Mat g_srcImage = imread("11.jpg");

     imshow("g_srcImage", g_srcImage);

     waitKey();

     vector<Mat> g_vChannels;

     split(g_srcImage, g_vChannels);

     Mat imageBlueChannel = g_vChannels.at();

     Mat imageGreenChannel = g_vChannels.at();

     Mat imageRedChannel = g_vChannels.at();

     Mat img_B = ( * imageBlueChannel - imageGreenChannel - imageRedChannel);

     imshow("img_B", img_B);

     waitKey();

     threshold(img_B, img_B, , , CV_THRESH_OTSU);

     imshow("img_B_g", img_B);

     waitKey();

     //对每个轮廓进行分析

     vector <Mat> contours;

     vector <Vec4i> hierarchy;

     double min_area = ;//小于50的认为不是数字

     findContours(img_B, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);

     // fill external contours

     if (!contours.empty() && !hierarchy.empty())

     {

         for (int idx = ; idx < contours.size(); idx++)

         {

             //Mat temp_img(Size(img_B.size()), CV_8U, Scalar(0));

             drawContours(img_B, contours, idx, Scalar(), CV_FILLED, );//填充 形成区域

             drawContours(g_srcImage, contours, idx, Scalar(,,), CV_FILLED, );//填充 形成区域

         }

     }

     imshow("g_srcImage11", g_srcImage);

     waitKey();

     imwrite("g_srcImage.bmp", g_srcImage);

 }