Vision-Based Denim Quality Assessment

dc.contributor.author Balkaya, P.
dc.contributor.author Basut, M.C.
dc.contributor.author Türkan, Mehmet
dc.date.accessioned 2023-12-26T07:28:54Z
dc.date.available 2023-12-26T07:28:54Z
dc.date.issued 2023
dc.description 2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- 194153 en_US
dc.description.abstract Manual 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.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK en_US
dc.description.sponsorship This 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.identifier.doi 10.1109/ASYU58738.2023.10296558
dc.identifier.isbn 9798350306590
dc.identifier.scopus 2-s2.0-85178262224
dc.identifier.uri https://doi.org/10.1109/ASYU58738.2023.10296558
dc.identifier.uri https://hdl.handle.net/20.500.14365/5035
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject artificial intelligence en_US
dc.subject clustering en_US
dc.subject computer vision en_US
dc.subject feature extraction en_US
dc.subject textile industry en_US
dc.subject Automation en_US
dc.subject Clustering algorithms en_US
dc.subject Color en_US
dc.subject Feature extraction en_US
dc.subject Quality control en_US
dc.subject Textile industry en_US
dc.subject Textiles en_US
dc.subject Chemical process en_US
dc.subject Clusterings en_US
dc.subject Color characteristics en_US
dc.subject Color quality en_US
dc.subject Color separation en_US
dc.subject Features extraction en_US
dc.subject Human operator en_US
dc.subject Quality assessment en_US
dc.subject Textural characteristic en_US
dc.subject Vision based en_US
dc.subject Computer vision en_US
dc.title Vision-Based Denim Quality Assessment en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.description.department İEÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
gdc.description.departmenttemp Balkaya, P., Izmir University of Economics, Department of Electrical and Electronics Engineering, Izmir, Turkey; Basut, M.C., Izmir University of Economics, Department of Electrical and Electronics Engineering, Izmir, Turkey; Turkan, M., Izmir University of Economics, Department of Electrical and Electronics Engineering, Izmir, Turkey en_US
gdc.description.endpage 5
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.wosquality N/A
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gdc.virtual.author Türkan, Mehmet
gdc.virtual.author Türkan, Mehmet
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