How can I identify bullet holes by comparing images taken from different angles?
<p>I have two images of a shooting target (4 meters by 4 meters), divided into sections of 0.5 meter by 0.5 meter squares. The images are taken before and after a firing trial. The target has already bullet holes on it before the firing. Moreover, there is some clutter on or in front of the target (fixing screws and steel lines to hold target straight). Let us assume all bullet holes are visible on both images. How can I programmatically identify bullet holes by comparing before and after images? Can you specify tools or libraries, or algorithm steps?</p>