Real-Time Detection of Knitting Fabric Defects Using Shearlet Transform

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dc.authoridHanbay, Kazım/0000-0003-1374-1417
dc.authoridÖztürk, Dursun/0000-0002-0335-8118
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authorwosidHanbay, Kazım/J-3848-2014
dc.authorwosidÖztürk, Dursun/A-5053-2018
dc.authorwosidÖzgüven, ÖmerülFaruk/ABH-1035-2020
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorHanbay, Kazim
dc.contributor.authorTalu, Muhammed Fatih
dc.contributor.authorOzguven, Omer Faruk
dc.contributor.authorOzturk, Dursun
dc.date.accessioned2024-08-04T20:45:52Z
dc.date.available2024-08-04T20:45:52Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThis paper proposes a vision-based fabric inspection system for the circular knitting machine. Firstly, a comprehensive fabric database called Fabric Defect Detection Database (FDDD) are constructed. To extract significant features of fabric images, shearlet transform is used. Means and variances are calculated from all subbands and combined into a high-dimensional feature vector. The proposed system is evaluated on a circular knitting machine in a textile factory. The real-time performance analysis is only carried out by inspecting single jersey knitted fabric. Our proposed system achieves the highest accuracy of 94.0% in the detection of single jersey knitting fabric defects.en_US
dc.description.sponsorshipMinistry of Science, Industry and Technology, Turkey [0127.STZ.2013-1]en_US
dc.description.sponsorshipThis work was supported by the Ministry of Science, Industry and Technology, Turkey (0127.STZ.2013-1).en_US
dc.identifier.doi10.32710/tekstilvekonfeksiyon.448737
dc.identifier.endpage10en_US
dc.identifier.issn1300-3356
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85063950487en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage3en_US
dc.identifier.urihttps://doi.org/10.32710/tekstilvekonfeksiyon.448737
dc.identifier.urihttps://hdl.handle.net/11616/98750
dc.identifier.volume29en_US
dc.identifier.wosWOS:000485289300001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEge Univen_US
dc.relation.ispartofTekstil Ve Konfeksiyonen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFabric defect detectionen_US
dc.subjectreal-time inspectionen_US
dc.subjecttexture classificationen_US
dc.titleReal-Time Detection of Knitting Fabric Defects Using Shearlet Transformen_US
dc.typeArticleen_US

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