• DocumentCode
    3020986
  • Title

    Estimation of average cell shape from digital images of cellular surfaces

  • Author

    Iles, P.J.W. ; Clausi, D.A. ; Brodland, G.W.

  • Author_Institution
    University of Waterloo
  • fYear
    2004
  • fDate
    17-19 May 2004
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    A method is proposed to determine the average cellular geometry in high-resolution images of embryonic epithelia. The concept of a `composite cell¿ is used to represent the average cell shape. This composite cell can provide evidence of stresses present in the epithelia. A new adaptive contrast enhancement routine is applied to the input image first, followed by an iterative watershed segmentation. The composite cell is calculated from the segmentation results. Qualitative results show that this computationally inexpensive algorithm produces accurate results for a variety of image sizes, contrast levels, cell shapes and appearances.
  • Keywords
    Birth disorders; Digital images; Embryo; Geometry; Image recognition; Image segmentation; Inspection; Iterative algorithms; Shape; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2004. Proceedings. First Canadian Conference on
  • Conference_Location
    London, ON, Canada
  • Print_ISBN
    0-7695-2127-4
  • Type

    conf

  • DOI
    10.1109/CCCRV.2004.1301455
  • Filename
    1301455