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dc.contributor.authorAmankwah, A.
dc.contributor.authorAldrich, Chris
dc.date.accessioned2017-01-30T12:17:48Z
dc.date.available2017-01-30T12:17:48Z
dc.date.created2015-10-29T04:09:32Z
dc.date.issued2011
dc.identifier.citationAmankwah, A. and Aldrich, C. 2011. Automatic ore image segmentation using mean shift and watershed transform, in Proceedings of the 21st International Conference Radioelektronika (RADIOELEKTRONIKA), Apr 19-20 2011, pp. 245-248. Brno, Amankwah, A. and Aldrich, C. 2011. Automatic ore image segmentation using mean shift and watershed transform, in Proceedings of the 21st International Conference Radioelektronika (RADIOELEKTRONIKA), Apr 19-20 2011, pp. 245-248. Brno: Czech Republic: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/20170
dc.identifier.doi10.1109/RADIOELEK.2011.5936391
dc.description.abstract

In this paper, we present a novel method for segmenting ore images specifically for estimating the size distribution of ore material on conveyer belt. The segmentation system uses the mean shift and watershed algorithm. The mean shift algorithm is used to identify pixel clusters of particular modes of the probability density function of the image data. The pixel clusters are then used to generate markers for the watershed transform and shadow areas in ore image. Experimental results show that the proposed algorithm is not only faster than the standard methods but also more robust.

dc.titleAutomatic ore image segmentation using mean shift and watershed transform
dc.typeConference Paper
dcterms.source.startPage245
dcterms.source.endPage248
dcterms.source.titleProceedings of 21st International Conference, Radioelektronika 2011
dcterms.source.seriesProceedings of 21st International Conference, Radioelektronika 2011
dcterms.source.isbn9781612843223
curtin.departmentDept of Mining Eng & Metallurgical Eng
curtin.accessStatusFulltext not available


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