• DocumentCode
    1945578
  • Title

    Detection of Cell Forms in Multicellular Objects

  • Author

    Asano, Kohei ; Yoshimura, Motohide ; Abe, Shigeo

  • Author_Institution
    Graduate Sch. of Sci. & Technol., Kobe Univ.
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    793
  • Lastpage
    798
  • Abstract
    This paper addresses a practical method to detect cell forms of multicellular objects. The cell forms in a multicellular image have similar geometry to some extent but it is difficult to detect all cell forms by using constant discriminant analysis. We define cellular certainty as an area and a depth of the cell forms and utilize both watershed and active contour model for the automatic detection of all cell forms. Our method can detect all cell forms automatically by using cellular certainty. We use corneal endothelial cell images and show the effectiveness of our method
  • Keywords
    cellular biophysics; computational geometry; image enhancement; image segmentation; medical image processing; object detection; active contour model; automatic cell form detection; constant discriminant analysis; corneal endothelial cell image; multicellular object image; watershed transformation; Active contours; Ceramics; Geometry; Global communication; Image analysis; Image edge detection; Microscopy; Minimization methods; Object detection; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631565
  • Filename
    1631565