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Determination of percentage of mineral in beach sand using digital image processing techniques

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dc.contributor.author Abeyrathna, PMDGSK
dc.contributor.author Bandara, IMMS
dc.contributor.author Ranaweerasinghe, GA
dc.contributor.author Tharmakulasingham, K
dc.contributor.author Rohitha, LPS
dc.contributor.editor Hemalal, PVA
dc.date.accessioned 2022-07-26T06:12:07Z
dc.date.available 2022-07-26T06:12:07Z
dc.date.issued 2015-07
dc.identifier.citation Abeyrathna, P.M.D.G.S.K., Bandara, I.M.M.S., Ranaweerasinghe, G.A., Tharmakulasingham, K., & Rohitha, L.P.S. (2015). Determination of percentage of mineral in beach sand using digital image processing techniques. In P.V.A. Hemalal (Ed.), Proceedings of the 9th Annual ERE Research Conference on Earth Resources Management (pp. 22-28). Department of Earth Resources Engineering, University of Moratuwa. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18461
dc.description.abstract Determination of percentage ofmineral is extremely important in beach sand mining industry. To select a site for extraction and processing heavy minerals it is important to assess the rough concentrations. The traditional methods are time consuming, costly, high labour intensive and difficult to handle the equipment. A method was developed to determine the percentage of minerals in raw sand by Digital Image Processing. HSV colour space was selected due to its wide range when compared to other colour spaces. Non over lapping samples were analyzed in this research. Most appropriate background was selected using colour analysis of HSV values. Background was differentiated from the minerals by using HSV values. By analyzing the pixels, area occupied by the minerals can be determined and using weight to area relationship, the weight percentage of minerals can be identified. Validation was carried out and using the statics accuracy was estimated. There are some limitations despite the benefits. en_US
dc.language.iso en en_US
dc.publisher Department of Earth Resources Engineering en_US
dc.subject Mineral percentage en_US
dc.subject Digital image processing en_US
dc.subject Non- overlapping en_US
dc.subject HSV value en_US
dc.title Determination of percentage of mineral in beach sand using digital image processing techniques en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Earth Resources Engineering en_US
dc.identifier.year 2015 en_US
dc.identifier.conference 9th Annual ERE Research Conference on Earth Resources Management en_US
dc.identifier.place Katubedda en_US
dc.identifier.pgnos pp. 22-28 en_US
dc.identifier.proceeding Proceedings of the 9th Annual ERE Research Conference on Earth Resources Management en_US
dc.identifier.email rohithasudath@yahoo.com en_US


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