Real time fabric defect detection by using fourier transform

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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.accessioned2024-08-04T20:43:04Z
dc.date.available2024-08-04T20:43:04Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn fabric productions, real time defect detection systems are needed to detect the surface defects. There is currently no real time defect detection system in knitting fabric production. In this paper, a real time fabric defect detection system is developed and is tested on circular knitting machine. Textural features of fabric image are extracted based on Fourier transform. These textural features are seven and are calculated from the horizontal and vertical directions of Fourier frequency spectrum of the fabric image. The performance of the proposed method is firstly evaluated off-line through experiments based on comprehensive fabric database. The proposed method obtains superior performance, which also proves its utility in real-time inspection. Secondly, a real time machine-vision system has been designed for an efficient detection of the fabric defects under industrial conditions. Real time defect detection system is tested automatically by analyzing fabric images captured by a line scan camera. Experimental results show that the proposed detection model can successfully detect common circular knitting fabric defects.en_US
dc.identifier.doi10.17341/gazimmfd.300604
dc.identifier.endpage158en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85016548295en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage151en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.300604
dc.identifier.urihttps://hdl.handle.net/11616/97770
dc.identifier.volume32en_US
dc.identifier.wosWOS:000402575200014en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of The Faculty of Engineering and Architecture of Gazi Universityen_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.subjectFourier transformen_US
dc.titleReal time fabric defect detection by using fourier transformen_US
dc.typeArticleen_US

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