灰度直方图均衡化（源码）

#计算灰度级别的累加概率，然后：当前像素值 = 当前像素的累加概率 * 255
import cv2
import numpy as np
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)
cv2.imshow('gray',gray)
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)
#计算累计概率
sum = float(0)
for i in range(0,256):
    sum = sum + count[i]
    count[i] = sum
#计算映射表
map = np.zeros(256,np.uint16)
for i in range(0,256):
    map[i] = count[i]*255
for i in range(0,height):
    for j in range(0,width):
        index = gray[i,j]
        gray[i,j] = map[index]
cv2.imshow('aftergGray',gray)
cv2.waitKey(0)

效果图：