Assessment of Chromite Liberation Spectrum on Microscopic Images by Means of a Supervised Image Classification

dc.contributor.author Camalan, Mahmut
dc.contributor.author Çavur, Mahmut
dc.contributor.author Çavur, Mahmut
dc.contributor.author Hosten, Cetin
dc.contributor.other Management Information Systems
dc.date.accessioned 2019-06-27T08:01:15Z
dc.date.available 2019-06-27T08:01:15Z
dc.date.issued 2017
dc.department Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü en_US
dc.description.abstract Assessment of mineral liberation spectrum with all its aspects is essential for plant control and optimization. This paper aims to estimate 2D mineral map and its associated liberation spectrum of a particular chromite sample from optical micrographs by using Random Forest Classification a powerful machine-learning algorithm implemented on a user-friendly and an open-source software. This supervised classification method can be used to accurately generate 2D mineral map of this chromite sample. The variation of the measured spectra with the sample size is studied showing that images of 200 particles randomly selected from the optical micrographs are sufficient to reproduce liberation spectrum of this sample. In addition the 2D spectrum obtained with this classification method is compared with the one obtained from the Mineral Liberation Analyzer (MLA). Although 2D mineralogical compositions obtained by the two methods are quite similar microscopic analysis estimates poorer liberation than MLA due to the residual noise (misclassified gangue) generated by the classification. Nevertheless we cannot compare the reliabilities of the two methods as there is not a standard produce yet to quantify the accuracy of MLA analysis. (C) 2017 Elsevier B.V. All rights reserved. en_US]
dc.identifier.citationcount 11
dc.identifier.doi 10.1016/j.powtec.2017.08.063 en_US
dc.identifier.endpage 225
dc.identifier.issn 0032-5910 en_US
dc.identifier.issn 1873-328X en_US
dc.identifier.issn 0032-5910
dc.identifier.issn 1873-328X
dc.identifier.scopus 2-s2.0-85029393587 en_US
dc.identifier.scopusquality Q1
dc.identifier.startpage 214 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/314
dc.identifier.uri https://doi.org/10.1016/j.powtec.2017.08.063
dc.identifier.volume 322 en_US
dc.identifier.wos WOS:000413880100025 en_US
dc.identifier.wosquality Q1
dc.institutionauthor Çavur, Mahmut en_US
dc.language.iso en en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.journal Powder Technology en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 11
dc.subject Mineral liberation en_US
dc.subject Optical microscope en_US
dc.subject Random forest tree en_US
dc.subject Image classification en_US
dc.subject Mineral liberation analyzer en_US
dc.title Assessment of Chromite Liberation Spectrum on Microscopic Images by Means of a Supervised Image Classification en_US
dc.type Article en_US
dc.wos.citedbyCount 11
dspace.entity.type Publication
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relation.isOrgUnitOfPublication.latestForDiscovery ff62e329-217b-4857-88f0-1dae00646b8c

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