Python cv2 图像自适应灰度直方图均衡化处理方法

__author__ = 'Administrator'

import numpy as np
import cv2

mri_img = np.load('mri_img.npy')

# normalization
mri_max = np.amax(mri_img)
mri_min = np.amin(mri_img)
mri_img = ((mri_img-mri_min)/(mri_max-mri_min))*255
mri_img = mri_img.astype('uint8')

r, c, h = mri_img.shape
for k in range(h):
temp = mri_img[:,:,k]
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
img = clahe.apply(temp)
cv2.imshow('mri', np.concatenate([temp,img], 1))
cv2.waitKey(0)

均衡化前、后对比效果

来源：https://blog.csdn.net/yangyangyang20092010/article/details/70705189