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Statistical Characteristics of Optical Signals and Images in Machine Vision Systems

Statistical Characteristics of Optical Signals and Images in Machine Vision Systems
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Author(s): Tatyana A. Strelkova (Kharkiv National University of Radio Electronics, Ukraine), Alexander P. Lytyuga (Kharkiv National University of Radio Electronics, Ukraine)and Alexander S. Kalmykov (Kharkiv National University of Radio Electronics, Ukraine)
Copyright: 2021
Pages: 29
Source title: Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
Source Author(s)/Editor(s): Oleg Sergiyenko (Autonomous University of Baja California, Mexico), Julio C. Rodriguez-QuiƱonez (Autonomous University of Baja California, Mexico)and Wendy Flores-Fuentes (Autonomous University of Baja California, Mexico)
DOI: 10.4018/978-1-7998-6522-3.ch005

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Abstract

The chapter is devoted to the creation of a comprehensive approach to the physical and mathematical description of signals in optoelectronics in machine vision, taking into account the phenomena of interaction of optical radiation with system elements. A new methodology for the study of the statistical properties of input and output signals in optoelectronic systems is proposed, taking into account the availability of grouped statistical properties that do not obey the Poisson statistics. The basis is the joint use of wave and corpuscular description of signals in systems, stochastic flow theories, and elements of statistical detection theory. Information and energetic technology have been developed that integrates the theoretical justification of signal description under various observation conditions and decision-making methods.

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