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# -*- coding: utf-8 -*-"""图像直方图均衡化"""import cv2import numpy as npfrom matplotlib import pyplot as pltimg = cv2.imread('../../../../datas/images/fish.jpg',0)# 计算处理前的直方图hist,bins = np.histogram(img.flatten(),256,[0,256])cdf = hist.cumsum()cdf_normalized = cdf * hist.max()/ cdf.max()plt.figure()plt.plot(cdf_normalized, color = 'b')plt.hist(img.flatten(),256,[0,256], color = 'r')plt.xlim([0,256])plt.legend(('cdf','histogram'), loc = 'upper left')# 均衡化处理cdf_m = np.ma.masked_equal(cdf,0)cdf_m = (cdf_m - cdf_m.min())*255/(cdf_m.max()-cdf_m.min())cdf = np.ma.filled(cdf_m,0).astype('uint8')img2 = cdf[img]plt.figure()plt.subplot(121)plt.imshow(img,'gray')plt.subplot(122)plt.imshow(img2,'gray')plt.figure()# 处理后直方图hist,bins = np.histogram(img2.flatten(),256,[0,256])c

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