If you are still working on the same project as before:
Average the "normal" images to create a base image. Calculate the maximum MSE (Mean Squared Error) of the "normal" images relative to the base image. That gives you an upper bound on normal images.
Now your classification is just whether MSE of the current image compared to the base image is greater than the threshold or not.
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