Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Grade estimation in realgar-orpiment batch flotation systems by froth image analysis and kernel methods

    Access Status
    Fulltext not available
    Authors
    Aldrich, Chris
    Kistner, M.
    Auret, L.
    Verrelli, D.
    Smith, L.
    Bruckhard, W.
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Aldrich, C. and Kistner, M. and Auret, L. and Verrelli, D. and Smith, L. and Bruckhard, W. 2014. Grade estimation in realgar-orpiment batch flotation systems by froth image analysis and kernel methods, in J. Yianatos, A. Doll, C. Gomez and R. Kuyvenhoven (ed), XXVII International Mineral Processing Congress - IMPC 2014, Oct 20 2014, pp. 14-22. Santiago, Chile: GECAMINI Digital Publications.
    Source Title
    Proceedings of the XXVII International Mineral Processing Congress – IMPC 2014
    Source Conference
    XXVII International Mineral Processing Congress - IMPC 2014
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/9936
    Collection
    • Curtin Research Publications
    Abstract

    In this investigation, mixtures of realgar and orpiment particles were floated in a laboratory batch flotation systems and multivariate image analysis was used to estimate the arsenic content in the froths. The analysis was based on the froth colour, as well as extraction of three groups of textural features, namely those based on grey level co-occurrence matrices, wavelets and local binary patterns. Collectively, these features provided better information on the arsenic content of the froths than any one of the individual groups of features. Partial least squares models could explain approximately 78% of the variance in the arsenic by using all the features simultaneously. The colour content, particularly the green component in the red-green-blue (RGB) features, provided almost as much information as the texture-base features.

    Related items

    Showing items related by title, author, creator and subject.

    • Recent Advances in Flotation Froth Image Analysis
      Aldrich, Chris ; Avelar, Erica; Liu, Xiu (2022)
      Machine vision is widely used in the monitoring of froth flotation plants as a means to assist control operators on the plant. While these systems have a mature ability to analyse physical froth features, such as the ...
    • Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm
      Fu, Y.; Aldrich, Chris (2016)
      Froth image analysis has been well established as a means to infer the performance of froth flotation cells in real time. Apart from linking the appearance of the froth to the behavior of the flotation system, the dynamic ...
    • Relationship between solids flux and froth features in batch flotation of sulphide ore
      Yang, X.; Aldrich, Chris (2005)
      The froth features in the batch flotation of a sulphide ore were investigated by using the digital image parameters of the froth, the small number emphasis (N sne ), the average grey level (D agl) and the instability ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.