python+opencv实现图像自适应阈值的均衡化

内容涉及：列表遍历，图像均衡化，图像通道分离与合并

import cv2
import numpy as np
import os

for path in open("org_junheng.txt"): # 遍历目标图片列表
    path = path.replace('
', '') # 去除换行符
    img = cv2.imread(path, 1)
    (b, g, r) = cv2.split(img) # 图像通道分割
    clahe = cv2.createCLAHE(clipLimit=2.0,tileGridSize=(8,8)) # 建立均衡化实例
    bb = clahe.apply(b)
    gg = clahe.apply(g)
    rr = clahe.apply(r)
    result = cv2.merge((bb, gg, rr)) # 图像通道合并
    cv2.imwrite(path, result)