• DocumentCode
    1659342
  • Title

    A two-stage scene segmentation scheme for the automatic collection of cervical cell images

  • Author

    Bamford, Pascal ; Lovell, Brian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queensland Univ., Brisbane, Qld., Australia
  • Volume
    2
  • fYear
    1997
  • Firstpage
    683
  • Abstract
    A segmentation process which emulates the human method of screening cervical smears is presented. The scheme consists of two distinct stages, one at low magnification using water immersion segmentation, followed by a search based dual active contour method at high magnification. Each technique and the overall method is explained and examples are given
  • Keywords
    cellular biophysics; edge detection; feature extraction; image segmentation; medical image processing; patient diagnosis; search problems; active contour nucleus extraction algorithm; automatic collection; cervical cell images; high magnification; low magnification; search based dual active contour method; two-stage scene segmentation; water immersion segmentation; Active contours; Cervical cancer; Humans; Image resolution; Image segmentation; Image sensors; Information processing; Layout; Pixel; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    0-7803-4365-4
  • Type

    conf

  • DOI
    10.1109/TENCON.1997.648513
  • Filename
    648513