【OpenCV】基于轮廓的字符分割

来源：互联网发布：淘宝美工对电脑的要求编辑：程序博客网时间：2024/06/02 05:04
vector<IplImage*>  mycvCharSegment(IplImage* image){  //此函数利用OpenCV中的cvFindContours找出字符的轮廓后进行字符分割，包括汉字的合并处理，但是要求二值化的图像轮廓清晰vector<IplImage*> characters;  //存储分割出来的字符的图像头IplImage* smoothImg = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);cvSmooth(image, smoothImg, CV_MEDIAN, 3, 3, 0, 0);/*cvNamedWindow("Smooth", CV_WINDOW_AUTOSIZE);cvShowImage("Smooth", smoothImg);*/IplImage* contoursImg = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 1);cvCopy(smoothImg,contoursImg);CvSeq* contours = NULL;          CvMemStorage* storage = cvCreateMemStorage(0);  int count = cvFindContours(smoothImg, storage, &contours, sizeof(CvContour), CV_RETR_EXTERNAL); vector<CvRect> rcs;vector<CvRect> comrcs;for ( CvSeq* c = contours; c != NULL; c = c->h_next ) {CvRect rect = cvBoundingRect(c, 0);rcs.push_back(rect);}sort(rcs.begin(), rcs.end(), compareRect); //compareRect是自定义的一个比较函数vector<CvRect>::iterator itr,itr_next;float aveHeight = mycvGetRectAveHeight(rcs);  float aveWidth = mycvGetRectAveWidth(rcs);  float maxWidth = mycvGetRectMaxWidth(rcs);  float maxHeight = mycvGetRectMaxHeight(rcs); for ( itr = rcs.begin(),itr_next=itr+1; itr != rcs.end(); ) {CvRect rc = *itr;if(itr_next!= rcs.end()){CvRect rcnext = *(itr_next);if ( (rc.x+rc.width>rcnext.x)||((rc.x<rcnext.x) && (rc.x+rc.width>rcnext.x+rcnext.width)) ) {rc.x = min(rc.x,rcnext.x);rc.y = min(rc.y,rcnext.y);rc.width = max((rc.x+rc.width),(rcnext.x+rcnext.width))-rc.x;rc.height = max((rc.y+rc.height),(rcnext.y+rcnext.height))-rc.y;*itr = rc; itr_next++;}else{comrcs.push_back(rc);itr = itr_next++;  }}else{itr++;comrcs.push_back(rc);}}for ( itr = comrcs.begin(); itr != comrcs.end(); itr++ ) {CvRect rc = *itr;cvDrawRect(image, cvPoint(rc.x, rc.y), cvPoint(rc.x + rc.width, rc.y + rc.height), CV_RGB(255, 255, 255));cvNamedWindow("字符分割", CV_WINDOW_AUTOSIZE);cvShowImage("字符分割", image);IplImage* imgNo = cvCreateImage(cvSize(rc.width , rc.height), IPL_DEPTH_8U, 1);cvSetImageROI(image, rc);cvCopyImage(image, imgNo);cvResetImageROI(image);cvResetImageROI(imgNo);IplImage* dst = cvCreateImage(cvSize(rc.width , rc.height), IPL_DEPTH_8U, 1);cvResize(imgNo, dst);characters.push_back(dst);}return characters;}
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