• DocumentCode
    3380369
  • Title

    Two-stage image segmentation by adaptive thresholding and gradient watershed

  • Author

    Pi, Ming Hong ; Zhang, Hong

  • Author_Institution
    Centre for Intelligent Min. Syst., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    2005
  • fDate
    9-11 May 2005
  • Firstpage
    57
  • Lastpage
    64
  • Abstract
    Many images contain the coarse pieces and fine particles. Hence it is often important to segment the coarse pieces and fine particles using different segmentation techniques. In this paper, we combine adaptive thresholding and watershed transform in a two-stage image segmentation method, which has been used for oil-sand size analysis. We also present an image-retrieval-like approach to speed up size estimation of the fine particles.
  • Keywords
    gradient methods; image segmentation; transforms; adaptive thresholding; gradient watershed; image-retrieval; oil-sand size analysis; size estimation; two-stage image segmentation; watershed transform; Costs; Gray-scale; Image analysis; Image segmentation; Intelligent systems; Pixel; Quality control; Size measurement; Surface morphology; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
  • Print_ISBN
    0-7695-2319-6
  • Type

    conf

  • DOI
    10.1109/CRV.2005.82
  • Filename
    1443112