• DocumentCode
    304734
  • Title

    Multiscalar rock recognition using active vision

  • Author

    Crida, Robert C. ; De Jager, Gerhard

  • Author_Institution
    Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    345
  • Abstract
    This paper describes an active vision approach to rock recognition for the purpose of measuring rock size distributions or fragmentation. Such a measure is useful in the mining industry to facilitate the control and monitoring of autogenous mills. A new approach for recognising and segmenting rock images is described. It is based on rapid identification of targets at which attention is focused for analysis. In addition, a multiscalar image pyramid is used in a novel way to allow target detection and analysis to be optimised for a particular size, thereby improving their performances. The results that have been obtained with this approach are both robust and accurate
  • Keywords
    active vision; geology; geophysical signal processing; image recognition; image segmentation; mineral processing industry; mining; rocks; active vision; autogenous mill control; autogenous mill monitoring; mining industry; multiscalar image pyramid; multiscalar rock recognition; performance; rock fragmentation; rock image recognition; rock image segmentation; rock size distribution measurement; target analysis; target detection; target identification; Focusing; Image analysis; Image recognition; Image segmentation; Milling machines; Mining industry; Monitoring; Object detection; Performance analysis; Size measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560827
  • Filename
    560827