Different lighting conditions can lead to non-uniformities in an image plane, one of them is Spatial non-uniformity that yields bright and dark regions in the target plane.
Spliting the image in 12 equal parts, we calculate the standard deviation of the pixel value in each part and construct a new image, which can help us see the non uniformity clearer.
We can instantly tell the problem that occurs which can ultimately lead to machine detection problems, of little fine details, especially when our light setup, hits our target plane not only from above but from an angle causing shadows.
For fixing the problem we first crop both non uniformed image and it's translated white plane to our desired width and height, normalizing it using the pixel values of both our images and finally applying gaussian blur and per-element division.
Of course gaussian blurring and per-element division help preserve our planes texture, that's the purpose after all, fixing non uniformity while preserving target plane's texture.
