A novel marble recognition system using extreme learning machine with LBP and histogram features

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dc.contributor.authorTuran, Erhan
dc.contributor.authorUcar, Ferhat
dc.contributor.authorDandil, Besir
dc.date.accessioned2024-09-18T20:19:58Z
dc.date.available2024-09-18T20:19:58Z
dc.date.issued2021
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractMarble classification in production facilities is a sensitive application, which results in light of the subjective decisions of experts. The expert classifies marble manually with its color, homogeneity, and texture in the process. An intelligent marble classifier based on image processing can provide solutions to current problems of the industry. In the proposed study, we introduce an intelligent classifier for marble classification with different classes in real field production. The purpose of the proposed intelligent model for marble facilities is to automate and enhance the manual classification process at present. The real-world dataset consists of Rosso-Levanto, Onyx, Keivan, and Black marble images. Local Binary Patterns and Histogram are used for feature extraction and Extreme Learning Machine is designed as an intelligent classifier. Decision Tree, Support Vector Machine, and Artificial Neural Network structures are also used for thorough performance analysis. The findings (successful test rate of 97.5%) reveal a high performance comparing to existing studies.en_US
dc.identifier.doi10.1002/cpe.6428
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.issue21en_US
dc.identifier.scopus2-s2.0-85106642535en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1002/cpe.6428
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9980
dc.identifier.volume33en_US
dc.identifier.wosWOS:000655107700001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofConcurrency and Computation-Practice & Experienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectextreme learning machineen_US
dc.subjectfeature extractionen_US
dc.subjecthistogramen_US
dc.subjectLBPen_US
dc.subjectmarble classificationen_US
dc.titleA novel marble recognition system using extreme learning machine with LBP and histogram featuresen_US
dc.typeArticleen_US

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