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Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis

This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their fo...

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Detalles Bibliográficos
Autor principal: Sioma, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085050/
https://www.ncbi.nlm.nih.gov/pubmed/32164207
http://dx.doi.org/10.3390/ma13051250
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author Sioma, Andrzej
author_facet Sioma, Andrzej
author_sort Sioma, Andrzej
collection PubMed
description This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their formation. The paper includes the presentation of the method of constructing a 3D image of the tile surface using the Laser Triangulation Method (LTM), along with the surface imaging parameters employed in the research. The algorithms of three-dimensional surface image analysis of ceramic tiles used in the process of image filtering and defect identification are presented. For selected defects, the method of measuring defect parameters and the method of visualization of defects on the surface are also presented. The developed method was tested on defective products to confirm its effectiveness in the field of quick defect detection in automated control systems installed on production lines.
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spelling pubmed-70850502020-03-23 Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis Sioma, Andrzej Materials (Basel) Article This paper presents a method of acquisition and analysis of three-dimensional images in the task of automatic location and evaluation of defects on the surface of ceramic tiles. It presents a brief description of selected defects appearing on the surface of tiles, along with the analysis of their formation. The paper includes the presentation of the method of constructing a 3D image of the tile surface using the Laser Triangulation Method (LTM), along with the surface imaging parameters employed in the research. The algorithms of three-dimensional surface image analysis of ceramic tiles used in the process of image filtering and defect identification are presented. For selected defects, the method of measuring defect parameters and the method of visualization of defects on the surface are also presented. The developed method was tested on defective products to confirm its effectiveness in the field of quick defect detection in automated control systems installed on production lines. MDPI 2020-03-10 /pmc/articles/PMC7085050/ /pubmed/32164207 http://dx.doi.org/10.3390/ma13051250 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sioma, Andrzej
Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title_full Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title_fullStr Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title_full_unstemmed Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title_short Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis
title_sort automated control of surface defects on ceramic tiles using 3d image analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085050/
https://www.ncbi.nlm.nih.gov/pubmed/32164207
http://dx.doi.org/10.3390/ma13051250
work_keys_str_mv AT siomaandrzej automatedcontrolofsurfacedefectsonceramictilesusing3dimageanalysis