基于二值图转换

 1 import cv2
 2 import numpy as np
 3 
 4 def find_max_region(mask_sel):
 5 
 6     contours, hierarchy = cv2.findContours(mask_sel, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
 7 
 8     # 找到最大区域并填充
 9     area = []
10 
11     for j in range(len(contours)):
12         area.append(cv2.contourArea(contours[j]))
13 
14     max_idx = np.argmax(area)
15 
16     max_area = cv2.contourArea(contours[max_idx])
17 
18     for k in range(len(contours)):
19 
20         if k != max_idx:
21             cv2.fillPoly(mask_sel, [contours[k]], 0)
22 
23 
24 
25     return mask_sel
26 
27 if __name__ == '__main__':
28     img_path = "多个连通域待查.jpg"  
29     img = cv2.imread(img_path)
30     img2 =cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #THRESH_BINARY #COLOR_BGR2GRAY
31     cv2.imshow('zhang',img2)
32     img3=find_max_region(img2)
33     cv2.imwrite("最大轮廓.png", img3)