Automatic flotation froth bubble size distribution estimation using mean shift and watershed transforms.
dc.contributor.author | Amankwah, A. | |
dc.contributor.author | Aldrich, Chris | |
dc.contributor.editor | Mr. Tom Lukowski, DRDC Ottawa Research Center, Ottawa | |
dc.date.accessioned | 2017-01-30T14:59:53Z | |
dc.date.available | 2017-01-30T14:59:53Z | |
dc.date.created | 2015-05-22T08:32:25Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Amankwah, A. and Aldrich, C. 2014. Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms, in International Geoscience and Remote Sensing Symposium (IGARSS), Jul 13-18 2014. Quebec, Canada: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/42470 | |
dc.identifier.doi | 10.1109/IGARSS.2014.6946754 | |
dc.description.abstract |
Flotation is a process used in the mineral industry toconcentrate valuable minerals. The efficiency of the processis influenced by among other the bubble size distribution ofthe flotation froth. In this investigation, we propose a newmethod for automatic estimation of the bubble sizedistribution using the mean shift algorithm and watershedtransform. The mean shift algorithm is used to find pixelclusters of particular modes of the probability densityfunction of the image data. Pixel clusters of which themodes are above a given threshold are used as markers forthe watershed transform. Experimental results show thatthe proposed method was fast and robust for determiningthe size distribution of different classes of flotation froth. | |
dc.publisher | IEEE | |
dc.subject | mean shift | |
dc.subject | watershed transform | |
dc.subject | bubble size | |
dc.subject | Froth flotation | |
dc.subject | image analysis | |
dc.title | Automatic flotation froth bubble size distribution estimation using mean shift and watershed transforms. | |
dc.type | Conference Paper | |
dcterms.source.startPage | 1608 | |
dcterms.source.endPage | 1611 | |
dcterms.source.title | 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | |
dcterms.source.series | 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | |
dcterms.source.isbn | 978-1-4799-5775-0 | |
dcterms.source.conference | International Geoscience and Remote Sensing Symposium (IGARSS 2014) / 35th Canadian Symposium on Remote Sensing (35th CSRS) | |
dcterms.source.conference-start-date | Jul 13 2014 | |
dcterms.source.conferencelocation | Quebec, Canada | |
dcterms.source.place | USA | |
curtin.department | Western Australian School of Mines | |
curtin.accessStatus | Fulltext not available |