Development a Machine Vision System For Marble Classification

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dc.authoridTORUN, YUNIS/0000-0002-6187-0451
dc.contributor.authorTorun, Yunis
dc.contributor.authorAkbas, Mehmet Riza
dc.contributor.authorCelik, Muhammet Abdurrahim
dc.contributor.authorKaynar, Oguz
dc.date.accessioned2024-10-26T17:59:53Z
dc.date.available2024-10-26T17:59:53Z
dc.date.issued2019
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEY
dc.description.abstractIn marble sector, marble quality varies depending on vessel pattern and color. These patterns and colors are the most important factors affecting the quality and possible class of marble. The marble tiles in the marble palette ordered by the marble palette and the difference between the pattern and quality of the product causes the return of the product. Therefore, many firms suffer economic damage. In order to prevent this damage, it has become an important issue to automatically process the classification process with image processing and deep learning methods. In this study, it is aimed to make classification by adding new data to pre-trained network by AlexNet model. Fimar Marble Mine Co. Inc. operating in Sivas. In 3 different classes, 600 marble samples were trained by AlexNet model and Local Binary Pattern method and the pattern information was obtained. Local Binary Pattern method was used to classify the characteristic by creating color and pattern.
dc.description.sponsorshipIEEE Turkey Sect,Turkcell,Turkhavacilik Uzaysanayii,Turitak Bilgem,Gebze Teknik Univ,SAP, Detaysoft,NETAS,Havelsan
dc.identifier.doi10.1109/siu.2019.8806419
dc.identifier.isbn978-1-7281-1904-5
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85071967371
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/siu.2019.8806419
dc.identifier.urihttps://hdl.handle.net/20.500.12418/27393
dc.identifier.wosWOS:000518994300108
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2019 27th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMarble Classification
dc.subjectDeep Learning
dc.subjectAlexNet
dc.subjectLocal Binary Pattern
dc.titleDevelopment a Machine Vision System For Marble Classification
dc.typeConference Object

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