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# coding: utf-8 # !/usr/bin/python"""@File       :   直方图均衡化.py@Author     :   jiaming@Modify Time:   2020/2/6 15:24    @Contact    :   https://blog.csdn.net/weixin_39541632@Version    :   1.0@Desciption :   直方图均衡化                将山峰灰度图转化为平原灰度图"""import osimport sysimport numpy as npimport cv2import pprintfrom matplotlib import pyplot as pltrawPath = os.path.abspath(__file__)currentFile = os.path.basename(sys.argv[0])dataPath = rawPath[:rawPath.find(currentFile)] + r'static\\'

img = cv2.imread(dataPath+'big_deep.png', 0)hist, bins = np.histogram(img.flatten(), 256, [0, 256])cdf = hist.cumsum()cdf_normalized = cdf * hist.max() / cdf.max()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')plt.show()

img = cv2.imread(dataPath+'big_deep.png', 1)# 彩色图像均衡化,需要分解通道 对每一个通道均衡化(b, g, r) = cv2.split(img)bH = cv2.equalizeHist(b)gH = cv2.equalizeHist(g)rH = cv2.equalizeHist(r)# 合并每一个通道result = cv2.merge((bH, gH, rH))cv2.imshow("dst", result)cv2.waitKey(0)

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