二值图片批量阈值处理

 1 import cv2
 2 import numpy as np
 3 import os
 4 
 5 imgdir=r'D:/XXX/00'#原图片文件夹
 6 outdir = r'D:/XXX/11'#输出的文件夹
 7 
 8 def Threshold(imgpath):
 9       img=cv2.imread(imgpath)
10       gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 
11       img255 = np.zeros_like(gray, dtype='uint8')
12       for i in range(gray.shape[0]):
13             for j in range(gray.shape[1]):
14                 if gray[i, j] > 190: #自己定
15                       img255[i, j] = 255
16       return img255
17      
18  filelist=os.listdir(imgdir)
19  for item in filelist:
20        if item.endswith('_predict.png'):#这里网络输出的文件名,格式为'0_predict.png'
21              imgpath = imgdir + os.sep + item
22              #print(imgpath)
23              dst=Threshold(imgpath)
24              outfilepath=os.path.join(outdir, os.path.basename(item))
25              cv2.imwrite(outfilepath, dst)
26 
27