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    Automatic estimation of bubble size distributions in flotation froths by use of a mean shift algorithm and watershed transforms

    Access Status
    Fulltext not available
    Authors
    Amankwah, A.
    Aldrich, Chris
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    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 Proceedings of the Geoscience and Remote Sensing Symposium, Jul 13-18 2014, pp. 1608-1611. Quebec City, QC: Institute of Electrical and Electronics Engineers Inc.
    Source Title
    International Geoscience and Remote Sensing Symposium (IGARSS)
    DOI
    10.1109/IGARSS.2014.6946754
    ISBN
    9781479957750
    School
    Dept of Mining Eng & Metallurgical Eng
    URI
    http://hdl.handle.net/20.500.11937/41553
    Collection
    • Curtin Research Publications
    Abstract

    Flotation is a process used in the mineral industry to concentrate valuable minerals. The efficiency of the process is influenced by among other the bubble size distribution of the flotation froth. In this investigation, we propose a new method for automatic estimation of the bubble size distribution using the mean shift algorithm and watershed transform. The mean shift algorithm is used to find pixel clusters of particular modes of the probability density function of the image data. Pixel clusters of which the modes are above a given threshold are used as markers for the watershed transform. Experimental results show that the proposed method was fast and robust for determining the size distribution of different classes of flotation froth.

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