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

dc.contributor.authorAbeyrathna, PMDGSK
dc.contributor.authorBandara, IMMS
dc.contributor.authorRanaweerasinghe, GA
dc.contributor.authorTharmakulasingham, K
dc.contributor.authorRohitha, LPS
dc.contributor.editorHemalal, PVA
dc.date.accessioned2022-07-26T06:12:07Z
dc.date.available2022-07-26T06:12:07Z
dc.date.issued2015-07
dc.description.abstractDetermination 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.identifier.citationAbeyrathna, 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.conference9th Annual ERE Research Conference on Earth Resources Managementen_US
dc.identifier.departmentDepartment of Earth Resources Engineeringen_US
dc.identifier.emailrohithasudath@yahoo.comen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 22-28en_US
dc.identifier.placeKatubeddaen_US
dc.identifier.proceedingProceedings of the 9th Annual ERE Research Conference on Earth Resources Managementen_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/18461
dc.identifier.year2015en_US
dc.language.isoenen_US
dc.publisherDepartment of Earth Resources Engineeringen_US
dc.subjectMineral percentageen_US
dc.subjectDigital image processingen_US
dc.subjectNon- overlappingen_US
dc.subjectHSV valueen_US
dc.titleDetermination of percentage of mineral in beach sand using digital image processing techniquesen_US
dc.typeConference-Full-texten_US

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