Informational Model of Optical Signals and Images in Machine Vision Systems

Informational Model of Optical Signals and Images in Machine Vision Systems

Oleksandr Ryazantsev, Ganna Khoroshun, Andrii Riazantsev, Tatyana Strelkova
Copyright: © 2021 |Pages: 24
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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Model Of Service Rendering In Using Optical Laboratory In The Conditions Of Individual Needs Of The Customer

Development of data object design with application to the intensity distributions for controlling micro- and nanoparticles was the goal of some previous studies (Khoroshun et al., 2020a; Bekshaev et al., 2017). A model of providing services relating to the use of an optical laboratory in view of the individual customer needs is presented in (Khoroshun, 2019).

Consider a possible model for the MVS arrangement in an optical laboratory with full-service package including the following components: theoretical calculations, experiment, comparative analysis of theoretical and experimental data, the decision of the price/quality relation according to the customer’s requirements. The features of the service system can be formalized in terms of linguistic variables similar to the system described in works (Pronina, 2018a; Pronina, 2018b). Consider the common optical task of the image registering using laser radiation.

Formally, the order can be represented by a tuple:

978-1-7998-6522-3.ch006.m01
,(1)

  • {C} the set of input data “customers”

  • 978-1-7998-6522-3.ch006.m02 the set of parameters describing the customer’s requirements

  • {T} the set of “theory”

  • 978-1-7998-6522-3.ch006.m03 the set of parameters characterizing the theoretical calculations

  • {E} the set of “experiment”

  • 978-1-7998-6522-3.ch006.m04 the set of parameters describing characteristics of the experiment

  • {D} the set of “data analysis”

  • 978-1-7998-6522-3.ch006.m05 the set of parameters describing characteristics of the data processing

  • {S} the set of output data “services”

  • 978-1-7998-6522-3.ch006.m06 the set of parameters describing the services

The set of “customers” {C}. includes the following parameters 978-1-7998-6522-3.ch006.m07:

  • 978-1-7998-6522-3.ch006.m08 the image required features for production

  • 978-1-7998-6522-3.ch006.m09 the catalog of the system parameters with their physical characteristics

  • 978-1-7998-6522-3.ch006.m10 the time necessary for the MVS completion

  • 978-1-7998-6522-3.ch006.m11 the quality of the data visualization

  • 978-1-7998-6522-3.ch006.m12 the cost range of MVS procedure

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