灰度图像直方图（源码实现）

概述原理：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]

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：

总结

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