Image Processing based Scoring System for Small Arms Firing in the Military Domain

Abstract

Firing and its overall conduct of scoring plays a very vital role in the military organizations. Currently, the evaluation of such a system is partially automated that still needs manual works. A fully automatic calculation of target scoring is time demanding and can add a great value in minimizing human error. This paper puts focus on designing and developing the process of scoring a fired target automatically based on image processing techniques in the context of military domain. Along with conventional image processing techniques, this work has used structural similarity indexing algorithms to detect the bullet holes from images. The experiment has been conducted on real-time scenarios considering the military field and shows a promising result to calculate the scores automatically.