python图像灰度化算法

灰度图片就是R=G=B=Gray

算法一：

图片R、G、B三个颜色取均值

import cv2
import numpy as np
img = cv2.imread('image0.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

dst = np.zeros((height,width,3),np.uint8) #unit8 0-255
for i in range(0,height)
	for j in range(width)
		(b,g,r) = img[i,j]
		gray = (int(b)+int(g)+int(r))
		dst[i,j] = np.unit8(grap)
cv2.imshow('dst',dst)
cv2.waitKey(0)

算法二

gray = r0.299 + g0.587 + b+0.114

import cv2
import numpy as np
img = cv2.imread('image0.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

dst = np.zeros((height,width,3),np.uint8) #unit8 0-255
for i in range(0,height)
	for j in range(width)
		(b,g,r) = img[i,j]
		b = int(b)
		g = int(g)
		r = int(r)
		gray = (r*0.299 + g*0.587 +b*0.114)
		dst[i,j] = np.unit8(grap)
cv2.imshow('dst',dst)
cv2.waitKey(0)

来源：CSDN

作者：学妹资资

链接：https://blog.csdn.net/weixin_43118073/article/details/104266724