• DocumentCode
    2648115
  • Title

    A multi-resolution algorithm for cytological image segmentation

  • Author

    Jeacocke, Mark B. ; Lovell, Brian C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia
  • fYear
    1994
  • fDate
    29 Nov-2 Dec 1994
  • Firstpage
    322
  • Lastpage
    326
  • Abstract
    The paper proposes a multi-resolution method for cell segmentation, and outlines some of the advantages it has over other techniques. The research is based on an approach developed by Wilson and Spann (1988), and the paper details some improvements on this algorithm for this particular problem
  • Keywords
    biomedical imaging; cellular biophysics; image classification; image segmentation; medical image processing; quadtrees; cell segmentation; cytological image segmentation; multi-resolution algorithm; Australia; Image analysis; Image edge detection; Image segmentation; Information analysis; Information processing; Quantization; Signal processing; Smoothing methods; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-2404-8
  • Type

    conf

  • DOI
    10.1109/ANZIIS.1994.396981
  • Filename
    396981