如何使用删除连接的小组件
connectedComponentsWithStats
import cv2import numpy as npimg = cv2.imread('path_to_your_image', 0)_, blackAndWhite = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY_INV)nlabels, labels, stats, centroids = cv2.connectedComponentsWithStats(blackAndWhite, None, None, None, 8, cv2.CV_32S)sizes = stats[1:, -1] #get CC_STAT_AREA componentimg2 = np.zeros((labels.shape), np.uint8)for i in range(0, nlabels - 1): if sizes[i] >= 50: #filter small dotted regions img2[labels == i + 1] = 255res = cv2.bitwise_not(img2)cv2.imwrite('res.png', res)这是c ++示例：
Mat invBinarized;threshold(inputImage, invBinarized, 127, 255, THRESH_BINARY_INV);Mat labels, stats, centroids;auto nlabels = connectedComponentsWithStats(invBinarized, labels, stats, centroids, 8, CV_32S, CCL_WU);Mat imageWithoutDots(inputImage.rows, inputImage.cols, CV_8UC1, Scalar(0));for (int i = 1; i < nlabels; i++) { if (stats.at<int>(i, 4) >= 50) { for (int j = 0; j < imageWithoutDots.total(); j++) { if (labels.at<int>(j) == i) { imageWithoutDots.data[j] = 255; } } }}cv::bitwise_not(imageWithoutDots, imageWithoutDots);编辑：
另请参见
ConnectedComponentsWithStats的OpenCV文档
如何在Python中使用带有统计信息的openCV的连接组件
学习opencv3的示例
