Update histequ.py

histequ.py

+import cv2 as cv
+import numpy as np
+from matplotlib import pyplot as plt
+
+path = "...\example1.jpeg"
+img = cv.imread(path)
+
+cv.imshow('image', img)
+
+hist,bins = np.histogram(img.flatten(),256,[0,256])
+cdf = hist.cumsum()
+cdf_normalized = cdf * float(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()
+
+equ = cv.equalizeHist(img)
+
+cv.imshow('equ.png',equ)
+cv.waitKey(0)
+
+hist,bins = np.histogram(equ.flatten(),256,[0,256])
+cdf = hist.cumsum()
+cdf_normalized = cdf * float(hist.max()) / cdf.max()
+plt.plot(cdf_normalized, color = 'b')
+plt.hist(equ.flatten(),256,[0,256], color = 'r')
+plt.xlim([0,256])
+plt.legend(('cdf','histogram'), loc = 'upper left')
+plt.show()
+
+