Fabric Defect Detection Methods for Circular Knitting Machines

Basit Öğe Kaydı
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authoridHanbay, Kazım/0000-0003-1374-1417
dc.authoridÖztürk, Dursun/0000-0002-0335-8118
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.authorwosidHanbay, Kazım/J-3848-2014
dc.authorwosidÖzgüven, ÖmerülFaruk/ABH-1035-2020
dc.authorwosidÖztürk, Dursun/A-5053-2018
dc.contributor.authorHanbay, Kazim
dc.contributor.authorTalu, Muhammed Fatih
dc.contributor.authorOzguven, Omer Faruk
dc.contributor.authorOzturk, Dursun
dc.date.accessioned2024-08-04T20:41:07Z
dc.date.available2024-08-04T20:41:07Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractIn this paper, an online fabric defect detection system that can detect fabric defects which may occur during the fabric product in knitting machines is introduced. This system mainly includes three steps: 1) Construction of a defected/defect-free fabric database; 2) Obtaining and classification of the feature vectors; 3) Online working on embedded system. This study only contains information about the first two stages. In the first stage, 3242 'defected' and '5923' defect-free images were acquired by using a conveyor system which has line scan camera and linear light. In the second stage, filtering, feature extraction (wavelet transform, co-occurrence matrix and CoHOG) and classification (YSA) processes were carried out. As a result, obtaining the feature vectors through wavelet transform has reduced computation cost by 53% and also has successfully provided the classification of the defects by 90%.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage738en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939194223en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage735en_US
dc.identifier.urihttps://hdl.handle.net/11616/96919
dc.identifier.wosWOS:000380500900164en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFabric defect detectionen_US
dc.subjecttexture classificationen_US
dc.subjectwavelet analysisen_US
dc.subjectdefect classificationen_US
dc.titleFabric Defect Detection Methods for Circular Knitting Machinesen_US
dc.typeConference Objecten_US

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