要求
存在一个文件夹内有若干张图像，需要计算每张图片的RGB均值，并计算全部图像的RGB均值。
代码
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 1 10:43:29 2018
@author: Administrator
"""
import os
import cv2
import numpy as np
path = 'C:/Users/Administrator/Desktop/rgb'
def compute(path):
file_names = os.listdir(path)
per_image_Rmean = []
per_image_Gmean = []
per_image_Bmean = []
for file_name in file_names:
img = cv2.imread(os.path.join(path, file_name), 1)
per_image_Bmean.append(np.mean(img[:,:,0]))
per_image_Gmean.append(np.mean(img[:,:,1]))
per_image_Rmean.append(np.mean(img[:,:,2]))
R_mean = np.mean(per_image_Rmean)
G_mean = np.mean(per_image_Gmean)
B_mean = np.mean(per_image_Bmean)
return R_mean, G_mean, B_mean
if __name__ == '__main__':
R, G, B= compute(path)
print(R, G ,B)
这里需要注意cv2.imread()读取顺序为BGR问题。
注意
路径不能出现中文，不然容易出错。
错误如下：
TypeError: 'NoneType' object is not subscriptable
结果
补充知识：Image得到图片像素的RGB
我就废话不多说了，大家还是直接看代码吧！
from PIL import Image
image = Image.open('./3.png')
print(image)#查看mode是否等于RGB,
image_rgb = image.convert("RGB")
image_rgb.getcolors()
打印结果
<PIL.PngImagePlugin.PngImageFile image mode=P size=500x332 at 0x7F53383FADA0> [(10990, (192, 0, 128)),#10990表示像素总数，(192, 0, 128)表示RGB值 (7589, (224, 224, 192)), (5706, (192, 128, 128)), (3913, (0, 64, 0)), (137802, (0, 0, 0))]
以上这篇Python实现计算图像RGB均值方式就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持脚本之家。
