python opencv彩色图像自适应直方图均衡化

import numpy as np
import cv2 as cv

# 彩色图像进行自适应直方图均衡化
def hisEqulColor(img):
    ycrcb = cv.cvtColor(img, cv.COLOR_BGR2YCR_CB)
    channels = cv.split(ycrcb)
    clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
    clahe.apply(channels[0], channels[0])

    cv.merge(channels, ycrcb)
    cv.cvtColor(ycrcb, cv.COLOR_YCR_CB2BGR, img)
    return img


img = cv.imread(r'C:\Users\thorne\PycharmProjects\biyesheji\image\2.jpeg')
img1 = img.copy()
#自适应直方图均衡化后的图res1
res1 = hisEqulColor(img1)
#拼接图res
res = np.hstack((img, res1))
#例图太大了，缩小一下
#正常显示的话就是cv.imshow('img+img1',res)
img_test2=cv.resize(res, (0, 0), fx=0.5, fy=0.5, interpolation=cv.INTER_NEAREST)
cv.imshow('img+img1',img_test2)
cv.waitKey(0)

运行结果：