• DocumentCode
    2784175
  • Title

    Segmentation of volumetric histo-pathological images by surface following using constrained snakes

  • Author

    Adiga, P. S Umesh ; Chaudhuri, B.B.

  • Author_Institution
    Indian Stat. Inst., Calcutta, India
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1674
  • Abstract
    Describes how the snakes under specified constraints can be used to segment 3-D cells in the volumetric tissue images. A snake contour is initialized in one image slice and the optimum snake contour is used to follow the surface of the cell in different image slices. This method is useful to track the cells which appear to be considerably moved in its lateral position when we see along the depth of the image stack
  • Keywords
    biological techniques; biological tissues; biology computing; cellular biophysics; image segmentation; medical image processing; splines (mathematics); 3D cells; constrained snakes; image slice; image stack; optimum snake contour; surface following; volumetric histo-pathological images; volumetric tissue images; Electromagnetic wave absorption; Image edge detection; Image segmentation; Image texture analysis; Information filtering; Information filters; Microscopy; Protection; Smoothing methods; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.712042
  • Filename
    712042