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Informational Model of Optical Signals and Images in Machine Vision Systems
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Author(s): Oleksandr Ryazantsev (Volodymyr Dahl East Ukrainian National University, Ukraine), Ganna Khoroshun (Volodymyr Dahl East Ukrainian National University, Ukraine), Andrii Riazantsev (Volodymyr Dahl East Ukrainian National University, Ukraine)and Tatyana Strelkova (Kharkiv National University of Radio Electronics, Ukraine)
Copyright: 2021
Pages: 24
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-Quiñonez (Autonomous University of Baja California, Mexico)and Wendy Flores-Fuentes (Autonomous University of Baja California, Mexico)
DOI: 10.4018/978-1-7998-6522-3.ch006
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Abstract
The rapid development and use of optical systems in measurement, navigation, and space technology to obtain accurate and detailed information about an object of observation is accompanied by the problems of transmitting high quality information through the optical system and processing of the obtained data. Integration of artificial intelligence systems in industry requires the creation and improvement of objective assessment and self-assessment systems. This is especially designed for automated recognition and classification systems. The problem of the object movement registration also contains some peculiarities such as background and main signal separation, noise influence and main objects selecting. Information about data quality is a set of properties that reflects the degree of suitability of specific information. It contains the data about objects and their relationship to achieve the goals of user requirements.
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