EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM

Background. One of the main ways to improve the efficiency of information flow compensation is to build a recognition system for the method of information flow compensation for generating reference images. Materials and methods. If a class of systems is characterized by a list of its members, it c...

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Autor principal:	A.A. Zhelezniak
Formato:	article
Lenguaje:	EN RU
Publicado:	Penza State University Publishing House 2021
Materias:	optimization algorithm image information flow efficiency Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/34b5d1284be94060a6f20783876100bc
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spelling	oai:doaj.org-article:34b5d1284be94060a6f20783876100bc2021-11-24T10:30:55ZEFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM10.21685/2307-5538-2021-3-22307-5538https://doaj.org/article/34b5d1284be94060a6f20783876100bc2021-11-01T00:00:00Zhttps://doaj.org/toc/2307-5538Background. One of the main ways to improve the efficiency of information flow compensation is to build a recognition system for the method of information flow compensation for generating reference images. Materials and methods. If a class of systems is characterized by a list of its members, it can be based on the principle of belonging to this list – this method is called the method of comparison with the standard. According to this method, many images belonging to the same class are stored by the identification system. When new images are presented to the system, it consistently compares them with the reference images stored in memory. The system assigns the new image to the class that the reference image that coincided with the presented one belonged to. Results and conclusions. This method works well only when the sample is close to ideal, or the conditions for presenting images are ideal. If members of the same class have some common features, the recognition system is based on the principle of common properties. These General properties are stored in the system memory. During image processing, the system must be able to extract features from the presented image and work with them. The system assigns the newly presented image to a class whose features are similar to those highlighted in the new image.A.A. ZhelezniakPenza State University Publishing Housearticleoptimizationalgorithmimageinformation flowefficiencyEngineering (General). Civil engineering (General)TA1-2040ENRUИзмерение, мониторинг, управление, контроль, Iss 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN RU
topic	optimization algorithm image information flow efficiency Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	optimization algorithm image information flow efficiency Engineering (General). Civil engineering (General) TA1-2040 A.A. Zhelezniak EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
description	Background. One of the main ways to improve the efficiency of information flow compensation is to build a recognition system for the method of information flow compensation for generating reference images. Materials and methods. If a class of systems is characterized by a list of its members, it can be based on the principle of belonging to this list – this method is called the method of comparison with the standard. According to this method, many images belonging to the same class are stored by the identification system. When new images are presented to the system, it consistently compares them with the reference images stored in memory. The system assigns the new image to the class that the reference image that coincided with the presented one belonged to. Results and conclusions. This method works well only when the sample is close to ideal, or the conditions for presenting images are ideal. If members of the same class have some common features, the recognition system is based on the principle of common properties. These General properties are stored in the system memory. During image processing, the system must be able to extract features from the presented image and work with them. The system assigns the newly presented image to a class whose features are similar to those highlighted in the new image.
format	article
author	A.A. Zhelezniak
author_facet	A.A. Zhelezniak
author_sort	A.A. Zhelezniak
title	EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
title_short	EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
title_full	EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
title_fullStr	EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
title_full_unstemmed	EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM
title_sort	efficiency of the method of compensation of information flows of the reference image generation system
publisher	Penza State University Publishing House
publishDate	2021
url	https://doaj.org/article/34b5d1284be94060a6f20783876100bc
work_keys_str_mv	AT aazhelezniak efficiencyofthemethodofcompensationofinformationflowsofthereferenceimagegenerationsystem
_version_	1718415097635799040

EFFICIENCY OF THE METHOD OF COMPENSATION OF INFORMATION FLOWS OF THE REFERENCE IMAGE GENERATION SYSTEM

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