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

Youtang Gao; Benkang Chang; Si Tian; Yafeng Qiu; Jianliang Qiao; Rongguo Fu

doi:10.1117/12.725455

11 January 2007 Averaging algorithm of reticle images in low-level-light weapon sight based on impact condition

Youtang Gao, Benkang Chang, Si Tian, Yafeng Qiu, Jianliang Qiao, Rongguo Fu

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62792U (2007) https://doi.org/10.1117/12.725455
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

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.

Citation Download Citation

Youtang Gao, Benkang Chang, Si Tian, Yafeng Qiu, Jianliang Qiao, and Rongguo Fu "Averaging algorithm of reticle images in low-level-light weapon sight based on impact condition", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792U (11 January 2007); https://doi.org/10.1117/12.725455

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