基于OpenCV的裂纹纹检测系统C++源代码

1、本文中代码为作者参考网络相关资料基础上的开发成果，仅供参考学习，如有其他机器视觉领域算法和软件定制需要，请联系作者email:2466650587基于opencv实现的裂纹检测系统c+源代码（亲测可用）1. 功能介绍本程序可实现从原始包含裂纹的图像中检测出裂纹的位置并进行标识。待测图片2. 实现源代码共包含main.cpp,crackdetection.cpp，crackdetection.h三个文件。main.cpp#include #include #include #include crackdetection.husing namespace cv;using namesp

2、ace std;list findallfile(const string &filespath)_finddata_t fileinfo;list file_list;long findresult = _findfirst(filespath.c_str(), &fileinfo);if (-1l = findresult)_findclose(findresult);return file_list;dofile_list.push_back(filei); while (0l = _findnext(findresult, &fileinfo);_findclose(f

3、indresult);return file_list;int main(int argc, char* argv)list filelist;double totaltime;filelist = findallfile(img_inputs*.jpg);filelist.splice(filelist.begin(), findallfile(img_inputs*.png);for (list:iterator it = filelist.begin(); it != filelist.end(); it+)mat imgraw = imread(.img_samples + *it);

4、/imshow(src img,imgraw);crackdetection crackinfo(imgraw, *it);imwrite(.img_crackdetection + *it, crackinfo.getimgcrackhighlight();cout *it crackinfo.getcracksscale() endl;/system(pause);waitkey();return 0;crackdetection.cpp#includecrackdetection.hstatic inline int getcontourspan(vector &contours)int

5、 minx = 0x7fffffff, miny = 0x7fffffff;int maxx = 0, maxy = 0;for (vector:iterator it = contours.begin(); it != contours.end(); it+)if (it-x maxx)maxx = it-x;if (it-y maxy)maxy = it-y;if (it-x x;if (it-y y;return maxy - miny maxx - minx ? maxy - miny : maxx - minx;static inline bool contourssortbyare

6、a(vector &contour1, vector &contour2)return (contourarea(contour1) contourarea(contour2);static inline bool contourssortbyspan(vector &contour1, vector &contour2)return (getcontourspan(contour1) getcontourspan(contour2);void crackdetection:cracklocate(mat &srcimg, mat &binimg)vector vector contours;

7、if (binimg.data)findcontours(binimg, contours, cv_retr_external, cv_chain_approx_none);if (contours.size() 0)for (size_t i = 0; i contours.size(); i+)rect maxrect;maxrect = boundingrect(contoursi);rectangle(srcimg, maxrect, cv:scalar(0, 0, 255);float crackdetection:crackanalysis(mat &srcimg, mat &bi

8、nimg)vector vector crackslist;double cracksproportion = 0, carcksareasum = 0;if (binimg.data)findcontours(binimg, crackslist, cv_retr_external, cv_chain_approx_none);if (crackslist.size() 0)drawcontours(srcimg, crackslist, -1, scalar(255, 0, 0), cv_filled, 8, vector(), 2, point();vector vector :iter

9、ator it;for (it = crackslist.begin(); it != crackslist.end(); it+)carcksareasum += contourarea(*it);cracksproportion = carcksareasum / (srcimg.rows*srcimg.cols);return cracksproportion;void crackdetection:gethist(mat& srcimg, mat& dstimg)int bins = 256;int hist_size = bins ;float range = 0, 256 ;con

10、st float* ranges = range ;matnd hist;int channels = 0 ;calchist(&srcimg, 1, channels, mat(), / do not use mask hist, 1, hist_size, ranges,true, / the histogram is uniform false);double max_val;minmaxloc(hist, 0, &max_val, 0, 0);int scale = 2;int hist_height = 256;mat hist_img = mat:zeros(hist_height

11、, bins*scale, cv_8uc3);for (int i = 0; ibins; i+)float bin_val = hist.at(i);int intensity = cvround(bin_val*hist_height / max_val); /要绘制的高度 rectangle(hist_img, point(i*scale, hist_height - 1),point(i + 1)*scale - 1, hist_height - intensity),cv_rgb(255, 255, 255);dstimg = hist_img;int crackdetection:

12、filtercontours(mat &imgsrc, mat &imgdst, bool isspecify = true, int numcontours = 100, double ratiothreshold = 2)mat imgtmp = mat:zeros(imgsrc.size(), cv_8uc1);vectorvector contourstokeep;vectorvector contoursall;vector hierarchy;/ 寻找轮廓findcontours(imgsrc, contoursall, hierarchy, cv_retr_list, cv_ch

13、ain_approx_tc89_kcos, point(0, 0);if (contoursall.size() (imgsrc.cols + imgsrc.rows)*0.01)/isspecify=false: so we just filter the img with no specificationsif (false = isspecify)for (int i = 0; i contoursall.size() & i (imgsrc.rows + imgsrc.cols)*0.015)contourstokeep.push_back(contoursalli);elsethre

14、sholdarea += contourarea(contoursall0);sort(contoursall.begin(), contoursall.end(), contourssortbyspan);thresholdspan += getcontourspan(contoursall0);for (int i = 0; i contoursall.size() & i ratiothreshold& tmpspan / thresholdspan 0.1 & tmparea / thresholdarea 0.01)/删除面积小于设定值的轮廓 contourstokeep.push_

15、back(contoursalli);drawcontours(imgtmp, contourstokeep, -1, scalar(255), cv_filled, 8, vector(), 2, point();imgdst = imgtmp;return contourstokeep.size();crackdetection:crackdetection(mat &imgraw, string &filename)if (null = imgraw.data)return;_imgraw = imgraw;mat imgcracksgray;cvtcolor(_imgraw, imgc

16、racksgray, cv_rgb2gray);mat imgcracksfiltedgray;imshow(imgcracksgray, imgcracksgray);for (int i = 1; i = 1; iteration+)dilate(imgcracksbinary, imgcracksbinary, elementdialate);erode(imgcracksbinary, imgcracksbinary, elementerode);if (numcountours 30)numcountours = (int)ceil(numcountours*0.6);else if

17、 (numcountours 15)numcountours = (int)ceil(numcountours*0.8);else if (numcountours 5)numcountours-;numcountours = filtercontours(imgcracksbinary, imgcracksbinary, true, numcountours, 0);if (numcountours 4)break;numcountours = filtercontours(imgcracksbinary, imgcracksbinary, true, numcountours, 2);im

18、write(.img_crackbinary + filename, imgcracksbinary);imshow(imgcracksbinary-filtercontour, imgcracksbinary);imgraw.copyto(_imgcrackhighlight);_cracksascale = crackanalysis(_imgcrackhighlight, imgcracksbinary);crackdetection:crackdetection()mat& crackdetection:getimgcrackhighlight()return _imgcrackhighlight;float crackdetection:getcra