【644】二值图去掉面积小的部分 cv2.threshold

python-opencv去除小面积区域/孔洞填充（二值图像）

　　具体实现：

1. 读取并显示原始图像

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import cv2 import os import numpy as np from PIL import Image   img_path = "seg_smooth.png" img = cv2.imread(img_path, 0) mask = np.zeros_like(img)   display(Image.fromarray(img))

 

 

2. 设置阈值获取轮廓线集合

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ret, img = cv2.threshold(img, 127, 255, cv2.THRESH_BINARY) contours, _ = cv2.findContours(img, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) n = len(contours)   img_line = np.zeros_like(img)   cv2.polylines(img_line, contours, isClosed=True, color=(255,255,255), thickness=2)  display(Image.fromarray(img_line))

 

 

3. 剔除掉面积较小的，保留面积较大的，并填充颜色

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cv_contours = []   for contour in contours:     area = cv2.contourArea(contour)     if area >= 300:         cv_contours.append(contour)   img_poly = np.zeros_like(img) cv2.fillPoly(img_poly, cv_contours, (255,255,255)) display(Image.fromarray(img_poly))