Averaging algorithm of reticle images in low-level-light weapon sight based on impact condition

摘要

The novel approach to the image noise problem of reticle images based on impact condition in low-level-light weapon sight is proposed in this paper. The condition and process of the low-level-light weapon sight impact experiment were analyzed, and then averaging algorithm of reticle images consists of two parts has been applied on the experiment. First averaging and smoothing using a rotating mask methods were operated on Gaussian noise, to obtain a matching precision with in 0.05 mil. Second the well known efficient median filtering smoothing method is performed to obtain the higher matching precision. The potential of this averaging method is shown in the experimental results of reticle images in low-level-light weapon sight based on impact condition.