如何使用PIL \ Numpy在Python中获取灰度图像的平均像素值? [英] How to Get an Average Pixel Value of a Gray Scale Image in Python Using PIL\Numpy?

问题描述

我的灰度图像很少，因此我考虑了计算整个图像的平均像素值，以便可以使用单个值表示每个单独的图像.

I have few gray scale images and I thought of calculating the average pixel value of the total image, so that I can represent each individual image using a single value.

推荐答案

如果要执行此类操作，则应考虑使用scikit-image而不是原始的PIL或枕头. SciKit Image使用numpy数组存储图像，因此所有numpy方法都可以使用.

If you want to do stuff like this, you should consider using scikit-image instead of raw PIL or pillow. SciKit Image uses numpy arrays for images, so all the numpy methods work.

from skimage import io
import numpy as np

image = io.imread('http://i.stack.imgur.com/Y8UeF.jpg')

print(np.mean(image))

您可能希望将所有图像都转换为float值，以获取0和1之间的值:

You might want to convert all images to float to get a value betwenn 0 and 1:

from skimage import io, img_as_float
import numpy as np

image = io.imread('http://i.stack.imgur.com/Y8UeF.jpg')
image = img_as_float(image)
print(np.mean(image))

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