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Computer Optics, 2023, Volume 47, Issue 5, Pages 761–769
DOI: https://doi.org/10.18287/2412-6179-CO-1262
(Mi co1177)
 

DIFFRACTIVE OPTICS, OPTICAL TECHNOLOGIES

Performance evaluation of underwater vision systems

V. Ya. Kolyuchkina, N. M. Kostyleva, Yu. S. Gulinab

a Bauman Moscow State Technical University
b P. N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow
Abstract: The article describes a methodology for performance evaluation of vision systems for remotely operated underwater vehicles. The methodology is based on a system approach and uses mathematical models of the aqueous medium where an optical signal propagates, the underwater object image registration system, and the mathematical model of the human visual system. The detection and recognition probabilities of underwater object image at a given registration range are used as performance evaluation indicators of underwater vision systems. The mathematical model of the aqueous medium developed by the authors allows quantitative evaluation of the influence of back-scattering interference arising during objects illumination on the underwater vision system performance. The results of numerical experiments presented in the paper illustrate the possibility of using the proposed technique to optimize the underwater object image registration system parame-ters in order to achieve the required values of detection or recognition probabilities at the given ranges.
Keywords: ROUV, underwater vision system, backscattering, optical imaging, water inherent optical properties, human visual system, detection and recognition probabilities
Received: 08.12.2022
Accepted: 20.03.2023
Document Type: Article
Language: Russian
Citation: V. Ya. Kolyuchkin, N. M. Kostylev, Yu. S. Gulina, “Performance evaluation of underwater vision systems”, Computer Optics, 47:5 (2023), 761–769
Citation in format AMSBIB
\Bibitem{KolKosGul23}
\by V.~Ya.~Kolyuchkin, N.~M.~Kostylev, Yu.~S.~Gulina
\paper Performance evaluation of underwater vision systems
\jour Computer Optics
\yr 2023
\vol 47
\issue 5
\pages 761--769
\mathnet{http://mi.mathnet.ru/co1177}
\crossref{https://doi.org/10.18287/2412-6179-CO-1262}
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