opencv2.x 以上 删除二值化图像中面积较小的区域_opencv小于指定大小的区域

Mat remove_block(double minarea, Mat& src){
	CvSeq* contour = NULL;
	double tmparea = 0.0;
	CvMemStorage* storage = cvCreateMemStorage(0);
	//const char* tmpaddsum1 = tmp_string.c_str();
 
	//IplImage* img_src = cvLoadImage(tmpaddsum1, CV_LOAD_IMAGE_ANYCOLOR);
	IplImage* img_src = &IplImage(src);
	IplImage* img_Clone = cvCloneImage(img_src);
	//访问二值图像每个点的值
	uchar *pp;
	IplImage* img_dst = cvCreateImage(cvGetSize(img_src), IPL_DEPTH_8U, 1);
 
	//-----搜索2值图中的轮廓，并从轮廓树中删除面积小于minarea的区域-----//
	//CvScalar color = cvScalar(255, 0, 0);//CV_RGB(128,0,0)
	CvContourScanner scanner = NULL;
	scanner = cvStartFindContours(img_src, storage, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE, cvPoint(0, 0));
	//开始遍历轮廓树
	CvRect rect;
	
	while (contour = cvFindNextContour(scanner)){
		tmparea = fabs(cvContourArea(contour));
		rect = cvBoundingRect(contour, 0);
 
		if (tmparea < minarea){
			//当连通区