cv::connectedComponents 函数的返回值是一个整数,表示找到的连通区域的数量(包括背景区域,如果背景被视为一个连通区域的话)。如果指定了 numLabels 参数,则该值也会被存储在 numLabels 指向的变量中。 4. 基本使用示例 以下是一个使用 cv::connectedComponents 函数的基本示例: ...
代码清单6-6myConnectedComponents.cpp图像连通域计算1.#include<opencv2\opencv.hpp>2.#include<iostream>3.#include<vector>4.5.usingnamespacecv;6.usingnamespacestd;7.8.intmain()9.{10.//对图像进行距离变换11.Mat img = imread("rice.png");12.if(img....
intcv::connectedComponents( InputArrayimage,// 输入二值图像,黑色背景 OutputArraylabels,// 输出的标记图像,背景index=0 intconnectivity =8,// 连通域,默认是8连通 intltype = CV_32S// 输出的labels类型,默认是CV_32S ) 带有统计信息的API及其解释如下: intcv:...
void FindBlobs(const Mat &binary, vector<vector<Point>> &blobs) { blobs.clear(); // Fill the label_image with the blobs // 0 - background // 1 - unlabelled foreground // 2+ - labelled foreground cv::Mat label_image; binary.convertTo(label_image, CV_32FC1); float label_count =...
int cv::connectedComponents ( cv::InputArrayn image, // input 8-bit single-channel (binary) cv::OutputArray labels, // output label map int connectivity = 8, // 4- or 8-connected components int ltype = CV_32S // Output label type (CV_32S or CV_16U) ); 1. 2. 3. 4. 5. 6...
int num = connectedComponents(image, labels); if (num <= 1) { cout << "No stuff detect!!" << endl; return; } else { cout << num << " objects detected!!" << endl; } Mat display = Mat::zeros(image.rows, image.cols, CV_8UC3); ...
cv.connectedComponents(surface_fg) # markers = np.uint8(markers) markers = markers + 1 markers[unknown == 255] = 0 waterimg[markers == -1] = 255 markers = cv.watershed(gray, markers) 错误名称: cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\imgproc\src\segmentation...
dist = cv.distanceTransform(waterimg, cv.DIST_L2, 3)# 距离变换 ret, sure_fg = cv.threshold(dist, dist.max()*0.6, 255, 0)# 确定前景 surface_fg = np.uint8(sure_fg) unknown = cv.subtract(sure_bg, surface_fg) ret, markers = cv.connectedComponents(surface_fg) ...
运行不了# 计算markersurface_fg=numpy.uint8(surface)# 计算前景unknown=cv.subtract(sure_bg,surface_fg)# 计算未知区域ret,markers=cv.connectedComponents(surface_fg)print(ret)# watershed transform 分水岭变换markers=markers+1# 用label进行控制markers[unknown==255]=0markers=cv.watershed(src,markers=...
connectedComponents(zpix, labels, 8, CV_32S, CCL_WU); @@ -893,7 +893,7 @@ void cv::distanceTransform( InputArray _src, OutputArray _dst, { CV_INSTRUMENT_REGION(); if (distanceType == CV_DIST_L1 && dstType==CV_8U) if (distanceType == cv::DIST_L1 && dstType==CV_8U) distan...