#include"opencv2/opencv.hpp"

 #include<iostream>

 using namespace std;

 using namespace cv;

 void main()

 {

     Mat srcImg = imread("E://02.png");

     Mat tempImg = srcImg.clone();

     //Mat draw(srcImg.rows, srcImg.cols, CV_8UC3);

     cvtColor(srcImg, srcImg, CV_BGR2GRAY); //转为灰度图

     threshold(srcImg, srcImg,, , CV_THRESH_BINARY);//图像二值化，value>threshold（即100）?255:0

     imshow("srcImg", srcImg);  //轮廓查找前

     vector<vector<Point>> contours;

     vector<Vec4i> hierarchy;

     //findContours(srcImg, contours, hierarchy,RETR_EXTERNAL, CHAIN_APPROX_SIMPLE ); //查找外轮廓，压缩存储轮廓点

     findContours(srcImg, contours, hierarchy,RETR_LIST, CHAIN_APPROX_SIMPLE ); //查找所有轮廓

     //findContours(srcImg, contours, hierarchy,CV_RETR_CCOMP, CHAIN_APPROX_SIMPLE ); //查找所有轮廓

     //findContours(srcImg, contours, hierarchy,RETR_TREE, CHAIN_APPROX_NONE ); //查找所有轮廓，存储所有轮廓点

     imshow("cont", srcImg);  //轮廓查找后

     drawContours(tempImg, contours,-, Scalar(, , ),);  //绘制轮廓：-1代表绘制所有轮廓

     cout<<"num="<<contours.size()<<endl; //输出轮廓个数

     imshow("contours", tempImg);

     waitKey();

 }

void CImageProcessDlg::OnBnClickedButtonTest() //裂缝检测

{

    // TODO: 在此添加控件通知处理程序代码

    Mat Img=img.clone();

    Mat gray;

    Mat element0=getStructuringElement(MORPH_RECT, Size(,));

    Mat element1=getStructuringElement(MORPH_RECT, Size(,));

    cvtColor(Img, gray, COLOR_RGB2GRAY );

    GaussianBlur(gray, gray, Size(,), , );  //---高斯滤波

    adaptiveThreshold(gray, gray, , ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY_INV, , ); //---自适应阈值

    erode(gray, gray, element0);

    dilate(gray, gray, element1);

    vector<vector<Point> > contours;

    vector<Vec4i> hierarchy;

    findContours(gray, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(, ));

    drawContours(img, contours, -, Scalar(,,), , , hierarchy );

    if(!(img.empty()))

    {

        resize(img, img, Size(rect.Width(),rect.Height()));   //Resize大小

        imshow("PIC",img);  //显示结果

    }

    if(contours.size()>)

    {

        color_flag=;

        SetDlgItemText(IDC_EDIT_RESULT0,_T("墙面有裂缝"));

    }

    else

    {

        color_flag=;

        SetDlgItemText(IDC_EDIT_RESULT0,_T("墙面正常"));

    }

}