Performance evaluation of underwater vision systems
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 sy...
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Format: | Article |
Language: | English |
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Samara National Research University
2023-10-01
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Series: | Компьютерная оптика |
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Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470510e.html |
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author | V.Y. Kolyuchkin N.M. Kostylev Y.S. Gulina |
author_facet | V.Y. Kolyuchkin N.M. Kostylev Y.S. Gulina |
author_sort | V.Y. Kolyuchkin |
collection | DOAJ |
description | 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 backscattering 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 parameters in order to achieve the required values of detection or recognition probabilities at the given ranges. |
format | Article |
id | doaj-art-4e72e25d0fa74235a3c5bada45f9d2dd |
institution | Kabale University |
issn | 0134-2452 2412-6179 |
language | English |
publishDate | 2023-10-01 |
publisher | Samara National Research University |
record_format | Article |
series | Компьютерная оптика |
spelling | doaj-art-4e72e25d0fa74235a3c5bada45f9d2dd2025-01-22T05:04:17ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-10-0147576176910.18287/2412-6179-CO-1262Performance evaluation of underwater vision systemsV.Y. Kolyuchkin0N.M. Kostylev1Y.S. Gulina2Bauman Moscow State Technical UniversityBauman Moscow State Technical UniversityBauman Moscow State Technical University; P.N. Lebedev Physical Institute of the Russian Academy of SciencesThe 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 backscattering 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 parameters in order to achieve the required values of detection or recognition probabilities at the given ranges.https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470510e.htmlrouvunderwater vision systembackscatteringoptical imagingwater inherent optical propertieshuman visual systemdetection and recognition probabilities |
spellingShingle | V.Y. Kolyuchkin N.M. Kostylev Y.S. Gulina Performance evaluation of underwater vision systems Компьютерная оптика rouv underwater vision system backscattering optical imaging water inherent optical properties human visual system detection and recognition probabilities |
title | Performance evaluation of underwater vision systems |
title_full | Performance evaluation of underwater vision systems |
title_fullStr | Performance evaluation of underwater vision systems |
title_full_unstemmed | Performance evaluation of underwater vision systems |
title_short | Performance evaluation of underwater vision systems |
title_sort | performance evaluation of underwater vision systems |
topic | rouv underwater vision system backscattering optical imaging water inherent optical properties human visual system detection and recognition probabilities |
url | https://www.computeroptics.ru/eng/KO/Annot/KO47-5/470510e.html |
work_keys_str_mv | AT vykolyuchkin performanceevaluationofunderwatervisionsystems AT nmkostylev performanceevaluationofunderwatervisionsystems AT ysgulina performanceevaluationofunderwatervisionsystems |