Image comparison, a more pythonic method

[Grok_It]

You can use numpy to do such comparison, e.g.

import numpy as np 
img_a_array = np.array(img_a_pixels)
img_b_array = np.array(img_b_pixels)
difference = (img_a_array == img_b_array).sum()

Also, you can use the threshold to specify colors similarity, e.g.

threshold = 2
difference_with_threshold = (np.abs(img_a_array - img_b_array) <= threshold).sum()

Cool, I will do some speed comparisons with the numpy code that you provided. Thank you.
I use the threshold and comparison counter method for determining how much of an image is black or white.