Show simple item record

dc.contributor.authorKaynar, Oguz
dc.contributor.authorIsik, Yunus Emre
dc.contributor.authorGormez, Yasin
dc.contributor.authorDemirkoparan, Ferhan
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:44:06Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:44:06Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.urihttps://hdl.handle.net/20.500.12418/6914
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.descriptionWOS: 000426868700028en_US
dc.description.abstractFabric defect detection is vital for fabric quality. In the face of increasing fabric production, the fact that the detection of fabric faults by manpower is insufficient in terms of speed and quality has forced firms to work with automatic systems in this area. Until today, many methods have been developed to automatically detect fabric faults. Common purpose of many of these methods is to find some defective parts in the fabric by making some changes in image processing techniques or using machine learning methods. In this study, data sets obtained by applying local binary pattern and gray level co-occurrence matrix feature extraction methods on Tilda textile data are trained with artificial neural networks and two different models are created and success rates are compared.en_US
dc.description.sponsorshipIEEE Turkey Sect, Anatolian Scien_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGray Levet co-occurrence matrixen_US
dc.subjectLocal Binary Patternen_US
dc.subjectfabric defect detectionen_US
dc.titleFabric Defect Detection with LBP-GLMCen_US
dc.typeconferenceObjecten_US
dc.relation.journal2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP)en_US
dc.contributor.department[Kaynar, Oguz -- Isik, Yunus Emre -- Gormez, Yasin -- Demirkoparan, Ferhan] Cumhuriyet Univ, Yonetim Bilisim Sistemleri, Sivas, Turkeyen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record