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 osimport cv2import 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 Imageimage = 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。