Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/5035
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dc.contributor.authorBalkaya, P.-
dc.contributor.authorBasut, M.C.-
dc.contributor.authorTürkan, Mehmet-
dc.date.accessioned2023-12-26T07:28:54Z-
dc.date.available2023-12-26T07:28:54Z-
dc.date.issued2023-
dc.identifier.isbn9798350306590-
dc.identifier.urihttps://doi.org/10.1109/ASYU58738.2023.10296558-
dc.identifier.urihttps://hdl.handle.net/20.500.14365/5035-
dc.description2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- 194153en_US
dc.description.abstractManual color quality control is a slow process in textile industry. The color separation of denim products is judged by human operators to decide the correct chemical process to be applied such as ozone washing, to obtain the desired colors and textural characteristics for end-users. This paper aims at designing a vision-based automated system for grouping industrial denim jeans in order to eliminate human error or any other external factor, and increase efficiency and reliability of the process. Firstly, uniquely identifying features are extracted from images of the products taken in similar conditions using an image capture system, that is specifically designed for it, then parameters of clustering algorithms such as the number of clusters are decided by considering different validity scores. Finally, using the outcomes of several algorithms, a clustering is made from a batch of denim products and then the results are sent to human operators to be evaluated. © 2023 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.description.sponsorshipThis study is a joint project with Wiser X Technology R&D, Izmir, Turkey. This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK).en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial intelligenceen_US
dc.subjectclusteringen_US
dc.subjectcomputer visionen_US
dc.subjectfeature extractionen_US
dc.subjecttextile industryen_US
dc.subjectAutomationen_US
dc.subjectClustering algorithmsen_US
dc.subjectColoren_US
dc.subjectFeature extractionen_US
dc.subjectQuality controlen_US
dc.subjectTextile industryen_US
dc.subjectTextilesen_US
dc.subjectChemical processen_US
dc.subjectClusteringsen_US
dc.subjectColor characteristicsen_US
dc.subjectColor qualityen_US
dc.subjectColor separationen_US
dc.subjectFeatures extractionen_US
dc.subjectHuman operatoren_US
dc.subjectQuality assessmenten_US
dc.subjectTextural characteristicen_US
dc.subjectVision baseden_US
dc.subjectComputer visionen_US
dc.titleVision-based Denim Quality Assessmenten_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/ASYU58738.2023.10296558-
dc.identifier.scopus2-s2.0-85178262224en_US
dc.departmentİzmir Ekonomi Üniversitesien_US
dc.authorscopusid58734920700-
dc.authorscopusid58733822700-
dc.authorscopusid57219464962-
dc.institutionauthor…-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityN/A-
dc.identifier.wosqualityN/A-
item.grantfulltextreserved-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.author.dept05.06. Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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