Automatic System for Sheepskin Quality Control with Convolutional Neural Network
dc.authorid | Battini Sonmez, Elena/0000-0003-0090-984X | |
dc.authorwosid | Battini Sonmez, Elena/AAZ-6358-2021 | |
dc.contributor.author | Celik, Agit | |
dc.contributor.author | Ugurlu, Yagiz | |
dc.contributor.author | Gozukucuk, Emre | |
dc.contributor.author | Sonmez, Elena Battini | |
dc.date.accessioned | 2024-07-18T20:47:28Z | |
dc.date.available | 2024-07-18T20:47:28Z | |
dc.date.issued | 2019 | |
dc.department | İstanbul Bilgi Üniversitesi | en_US |
dc.description | 4th International Conference on Computer Science and Engineering (UBMK) -- SEP 11-15, 2019 -- Samsun, TURKEY | en_US |
dc.description.abstract | This paper tackles the non-conventional problem of industrial inspection for sheepskin quality checking, which is a sub-field of the leather garment industry. Image processing methods are used in the production lines of several industrial fields for quality checking and production. However, the number of automatic systems is still very limited due to the complexity of the problem, which requires to be addressed. This paper proposes a new neural network-based algorithm to perform the automatic detection of defective parts on sheepskins. The presented method is tested on a newly created database of sheepskins. | en_US |
dc.description.sponsorship | IEEE,IEEE Turkey Sect | en_US |
dc.identifier.doi | 10.1109/ubmk.2019.8907191 | |
dc.identifier.endpage | 402 | en_US |
dc.identifier.isbn | 978-1-7281-3964-7 | |
dc.identifier.scopus | 2-s2.0-85076234293 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 398 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ubmk.2019.8907191 | |
dc.identifier.uri | https://hdl.handle.net/11411/7802 | |
dc.identifier.wos | WOS:000609879900075 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2019 4th International Conference on Computer Science and Engineering (Ubmk) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Automatic System | en_US |
dc.subject | Quality Control | en_US |
dc.subject | Sheepskin | en_US |
dc.subject | Mask K-Cnn | en_US |
dc.subject | İmage Segmentation | en_US |
dc.subject | İnstance Segmentation | en_US |
dc.title | Automatic System for Sheepskin Quality Control with Convolutional Neural Network | |
dc.type | Conference Object |