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from skimage import measure
import cv2
import numpy as np
 
##
##image:二值图像
##threshold_point:符合面积条件大小的阈值
def remove_small_points(image,threshold_point):
    img = cv2.imread(image, 0)       #输入的二值图像
    img_label, num = measure.label(img, neighbors=8, return_num=True)#输出二值图像中所有的连通域
    props = measure.regionprops(img_label)#输出连通域的属性,包括面积等
 
    resMatrix = np.zeros(img_label.shape)
    for i in range(1, len(props)):
        if props[i].area > threshold_point:
            tmp = (img_label == i + 1).astype(np.uint8)
            resMatrix += tmp #组合所有符合条件的连通域
    resMatrix *= 255
    return resMatrix
 
res = remove_small_points(image,threshold_point)
 

 

posted on 2022-05-17 20:59  行走的蓑衣客  阅读(413)  评论(0编辑  收藏  举报