THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS

A system for recognizing surface defects in marble slabs is proposed. The pattern recognition method based on segmentation methods was further developed. The algorithm of the recognition system. The article describes methods for determining damage from digital images on various hard surfaces. Res...

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Autores principales:	E. Sipko, O. Kravchenko, A.Karapetyan, Zh. Plakasova, M. Gladka
Formato:	article
Lenguaje:	EN
Publicado:	Astana IT University 2020
Materias:	vision system segmentation adaptation method recognition Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/0a56803ee42d482d9554f99e4afdd773
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spelling	oai:doaj.org-article:0a56803ee42d482d9554f99e4afdd7732021-12-02T09:41:06ZTHE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS10.37943/AITU.2020.1.636432707-90312707-904Xhttps://doaj.org/article/0a56803ee42d482d9554f99e4afdd7732020-04-01T00:00:00Zhttps://sj.astanait.edu.kz/wp-content/uploads/2020/06/journal_AITU_march_-DOI-50-59.pdfhttps://doaj.org/toc/2707-9031https://doaj.org/toc/2707-904XA system for recognizing surface defects in marble slabs is proposed. The pattern recognition method based on segmentation methods was further developed. The algorithm of the recognition system. The article describes methods for determining damage from digital images on various hard surfaces. Research in this field is relevant for a wide range of industrial enterprises that specialize in the production of various kinds of materials: parts, marble slabs, building materials, etc. To solve this problem, it is proposed to use the k-means clustering method. It has been experimentally established that Gaussian blurring algorithms, the Hough transform, and the Kenny algorithm are best suited for recognizing defects on the surface of a marble slab. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented.E. SipkoO. KravchenkoA.KarapetyanZh. PlakasovaM. GladkaAstana IT Universityarticlevision systemsegmentationadaptationmethodrecognitionInformation technologyT58.5-58.64ENScientific Journal of Astana IT University, Vol 1, Iss 1, Pp 50-59 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	vision system segmentation adaptation method recognition Information technology T58.5-58.64
spellingShingle	vision system segmentation adaptation method recognition Information technology T58.5-58.64 E. Sipko O. Kravchenko A.Karapetyan Zh. Plakasova M. Gladka THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
description	A system for recognizing surface defects in marble slabs is proposed. The pattern recognition method based on segmentation methods was further developed. The algorithm of the recognition system. The article describes methods for determining damage from digital images on various hard surfaces. Research in this field is relevant for a wide range of industrial enterprises that specialize in the production of various kinds of materials: parts, marble slabs, building materials, etc. To solve this problem, it is proposed to use the k-means clustering method. It has been experimentally established that Gaussian blurring algorithms, the Hough transform, and the Kenny algorithm are best suited for recognizing defects on the surface of a marble slab. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented. The developed complex method based on the theory of pattern recognition allows you to quickly identify defects and damage on the surfaces of marble slabs. On the basis of the method, a system for understanding defects is implemented in software. The main stages of the system are described in the article. The results of the analysis of the image of the surface of the marble slab on a specific example are presented.
format	article
author	E. Sipko O. Kravchenko A.Karapetyan Zh. Plakasova M. Gladka
author_facet	E. Sipko O. Kravchenko A.Karapetyan Zh. Plakasova M. Gladka
author_sort	E. Sipko
title	THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
title_short	THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
title_full	THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
title_fullStr	THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
title_full_unstemmed	THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS
title_sort	system recognizes surface defects of marble slabs based on segmentation methods
publisher	Astana IT University
publishDate	2020
url	https://doaj.org/article/0a56803ee42d482d9554f99e4afdd773
work_keys_str_mv	AT esipko thesystemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT okravchenko thesystemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT akarapetyan thesystemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT zhplakasova thesystemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT mgladka thesystemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT esipko systemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT okravchenko systemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT akarapetyan systemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT zhplakasova systemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods AT mgladka systemrecognizessurfacedefectsofmarbleslabsbasedonsegmentationmethods
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THE SYSTEM RECOGNIZES SURFACE DEFECTS OF MARBLE SLABS BASED ON SEGMENTATION METHODS

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