灰度图像直方图（源码实现）

原理：统计每个像素灰度出现的概率 import cv2 import numpy as np import matplotlib.pyplot as plt img = cv2.imread(‘D:/pythonob/imageinpaint/img/flower.jpg‘,1) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) count = np.zeros(256,np.float) for i in range(0,height):     for j in range(0,width):         pixel = gray[i,j]         index = int(pixel)         count[index] = count[index]+1 for i in range(0,256):     count[i] = count[i]/(height*width) x = np.linspace(0,255,256) y = count plt.bar(x,y,0.9,alpha = 1 ,color = ‘b‘) plt.show() cv2.waitKey(0) 效果图：

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