Image textural features and semi-supervised learning: An application to classification of coal particles

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Image textural features and semi-supervised learning: An application to classification of coal particles

The performance of many reactors found in the mining and metals industry is closely related to the physical properties of aggregate material in the burden, for example particle size distribution. Specifically, the presence of excessive amounts of fine particles in feed material of, for example, flui...

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Bibliographic Details
Main Authors:	Aldrich, Chris, Jemwa, G., Munnik, M.
Other Authors:	Victor Babarovich
Format:	Conference Paper
Published:	Gecamin 2012
Online Access:	http://hdl.handle.net/20.500.11937/32849

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