Python cv2 图像自适应灰度直方图均衡化处理

Python cv2 图像自适应灰度直方图均衡化处理

__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