Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map
Yıl: 2021 Cilt: 24 Sayı: 1 Sayfa Aralığı: 113 - 120 Metin Dili: İngilizce DOI: 10.2339/politeknik.602688 İndeks Tarihi: 06-06-2021
Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map
Öz: Areal mineral maps are constructed from the polished sections of particles that settle to the bottom of epoxy resin. However, heavy minerals can preferentially settle to the bottom, making the polished surface rich in heavy minerals. Therefore, polished sections will become biased estimates of the volumetric (3D) map. The study aims to test whether any vertical cross-section (any section along the settling direction of particles) can be an unbiased estimate of the 3D mineral map of a chromite ore sample. For the purpose of this study, 2D maps of the vertical cross-sections were acquired by using Random Forest classification coupled with image pre- and post-processing tools. Then, 3D mineral maps were converted from 2D maps without assuming stereological errors. The modal mineralogy and particle size distributions predicted from 3D maps were compared with the same features estimated from the particulate sample by XRD and dry sieving analyses, respectively. Any 2D map which yields a modal mineralogy and a size distribution similar to the true analyses was selected as an unbiased estimate of the true 3D map. The results suggest that any vertical cross-section is an unbiased estimate, unlike polished section at which heavier minerals settle preferentially.
Anahtar Kelime: Tarafsız 3D mineral harita tahminleri elde etmek için random forest tree sınıflandırması kullanılarak epoksi bloklardaki dikey kesitlerin değerlendirilmesi
Öz: Alansal mineral haritaları, epoksi reçinenin dibine çöken cevher tanelerinin yüzeylerini içeren parlak kesitlerinden yapılmaktadır.Fakat, ağır mineraller nispeten dibe çökebilmekte ve parlak yüzeyi ağır mineraller açısından zengin yapabilmektedir. Bu ise parlakkesitlerden hesaplanan alansal (2D) mineral haritalarının, hacimsel (3D) haritaların taraflı tahminleri haline gelmesine sebepolabilmektedir. Bu çalışma, parlak kesite dik olarak (parçacıkların çökelme yönü boyunca) alınan rastgele bir kesitin bir kromitcevheri numunesinin 3D mineral haritasının tarafsız bir tahmini olarak kullanılıp kullanılamayacağını test etmeyi amaçlamaktadır.Bu çalışmanın amacı için, dikey kesitlerin 2D haritaları, öncesi ve sonrası görüntü işleme araçlarıyla bütünleşmiş Random Forestsınıflandırmasıyla elde edilmiştir. Daha sonra, 2D haritalar, stereolojik hatalar olmadığı varsayılarak 3D mineral haritalarınadönüştürülmüştür. 3D haritalardan tahmin edilen modal mineraloji ve tane boyu dağılımları, sırasıyla XRD ve kuru elemeanalizlerinden tahmin edilen sonuçlarla karşılaştırılmıştır. Herhangi bir 2D harita gerçek analizlere yakın modal mineraloji ve taneboyu dağılımı veriyorsa, bu 2D harita cevher numunesinin 3D haritasının tarafsız bir tahmini olarak seçilmiştir. Bu çalışmanınsonuçları herhangi bir dikey kesitin, ağır minerallerin öncelikli olarak çöktüğü parlak kesitten farklı olarak gerçek 3D haritanıntarafsız bir tahmini olacağını desteklemektedir.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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| APA | Camalan M, cavur m (2021). Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. , 113 - 120. 10.2339/politeknik.602688 |
| Chicago | Camalan Mahmut,cavur mahmut Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. (2021): 113 - 120. 10.2339/politeknik.602688 |
| MLA | Camalan Mahmut,cavur mahmut Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. , 2021, ss.113 - 120. 10.2339/politeknik.602688 |
| AMA | Camalan M,cavur m Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. . 2021; 113 - 120. 10.2339/politeknik.602688 |
| Vancouver | Camalan M,cavur m Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. . 2021; 113 - 120. 10.2339/politeknik.602688 |
| IEEE | Camalan M,cavur m "Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map." , ss.113 - 120, 2021. 10.2339/politeknik.602688 |
| ISNAD | Camalan, Mahmut - cavur, mahmut. "Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map". (2021), 113-120. https://doi.org/10.2339/politeknik.602688 |
| APA | Camalan M, cavur m (2021). Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. Politeknik Dergisi, 24(1), 113 - 120. 10.2339/politeknik.602688 |
| Chicago | Camalan Mahmut,cavur mahmut Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. Politeknik Dergisi 24, no.1 (2021): 113 - 120. 10.2339/politeknik.602688 |
| MLA | Camalan Mahmut,cavur mahmut Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. Politeknik Dergisi, vol.24, no.1, 2021, ss.113 - 120. 10.2339/politeknik.602688 |
| AMA | Camalan M,cavur m Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. Politeknik Dergisi. 2021; 24(1): 113 - 120. 10.2339/politeknik.602688 |
| Vancouver | Camalan M,cavur m Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map. Politeknik Dergisi. 2021; 24(1): 113 - 120. 10.2339/politeknik.602688 |
| IEEE | Camalan M,cavur m "Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map." Politeknik Dergisi, 24, ss.113 - 120, 2021. 10.2339/politeknik.602688 |
| ISNAD | Camalan, Mahmut - cavur, mahmut. "Using random forest tree classification for evaluating vertical cross-sections in epoxy blocks to get unbiased estimates for 3D mineral map". Politeknik Dergisi 24/1 (2021), 113-120. https://doi.org/10.2339/politeknik.602688 |
