水下视觉系统性能评价

IF 1.1 Q4 OPTICS
V.Y. Kolyuchkin, N.M. Kostylev, Y.S. Gulina
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引用次数: 0

摘要

本文介绍了一种用于遥控水下航行器视觉系统性能评估的方法。该方法基于系统方法,并使用光信号传播的水介质的数学模型、水下物体图像配准系统和人类视觉系统的数学模型。将给定配准范围内水下目标图像的检测和识别概率作为水下视觉系统的性能评价指标。作者建立的水介质数学模型可以定量评价物体照明过程中产生的后向散射干扰对水下视觉系统性能的影响。数值实验结果表明,该方法可用于优化水下目标图像配准系统参数,以在给定范围内达到所需的检测或识别概率值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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来源期刊
Computer Optics
Computer Optics OPTICS-
CiteScore
4.20
自引率
10.00%
发文量
73
审稿时长
9 weeks
期刊介绍: The journal is intended for researchers and specialists active in the following research areas: Diffractive Optics; Information Optical Technology; Nanophotonics and Optics of Nanostructures; Image Analysis & Understanding; Information Coding & Security; Earth Remote Sensing Technologies; Hyperspectral Data Analysis; Numerical Methods for Optics and Image Processing; Intelligent Video Analysis. The journal "Computer Optics" has been published since 1987. Published 6 issues per year.
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