Fabric defect detection systems and methods-A systematic literature review

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dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authoridHanbay, Kazım/0000-0003-1374-1417;
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.authorwosidHanbay, Kazım/J-3848-2014
dc.authorwosidÖzgüven, ÖmerülFaruk/ABH-1035-2020
dc.contributor.authorHanbay, Kazim
dc.contributor.authorTalu, Muhammed Fatih
dc.contributor.authorOzguven, Omer Faruk
dc.date.accessioned2024-08-04T20:42:42Z
dc.date.available2024-08-04T20:42:42Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThis paper presents a comprehensive literature review of fabric defect detection methods First, it briefly explains basic image acquisition system components such as camera and lens. Defect detection methods are categorized into seven classes as structural, statistical, spectral, model-based, learning, hybrid and comparison studies. These methods are evaluated according to such criteria as the accuracy, the computational cost, reliability, rotating/scaling invariant, online/offline ability to operate and noise sensitivity. Strengths and weaknesses of each approach are comparatively highlighted. In addition, the availability of utilizing methods for weaving and knitting in machines is investigated. The available review studies do not provide sufficient information about fabric defect detection systems for readers engaged in research in the area of textile and computer vision. A set of examination for efficient establishment of image acquisition system are added. In particular, lens and light source selection are mathematically expressed. (C) 2016 Elsevier GmbH. All rights reserved.en_US
dc.description.sponsorshipSAN-TEZ under programme SAN-TEZ of the Ministry of Science, Industry and Technology, Turkey [0127.STZ.2013-1]en_US
dc.description.sponsorshipThis work was supported by project SAN-TEZ (0127.STZ.2013-1) under programme SAN-TEZ of the Ministry of Science, Industry and Technology, Turkey.en_US
dc.identifier.doi10.1016/j.ijleo.2016.09.110
dc.identifier.endpage11973en_US
dc.identifier.issn0030-4026
dc.identifier.issue24en_US
dc.identifier.scopus2-s2.0-84990856247en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage11960en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijleo.2016.09.110
dc.identifier.urihttps://hdl.handle.net/11616/97526
dc.identifier.volume127en_US
dc.identifier.wosWOS:000387192800042en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Gmbhen_US
dc.relation.ispartofOptiken_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFabric defect detectionen_US
dc.subjectTexture analysisen_US
dc.subjectImage processingen_US
dc.subjectTextile inspectionen_US
dc.subjectImage acquisition systemsen_US
dc.titleFabric defect detection systems and methods-A systematic literature reviewen_US
dc.typeReview Articleen_US

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