• DocumentCode
    3105682
  • Title

    Cell Image Segmentation Based on an Improved Watershed Transformation

  • Author

    Li, Shu ; Wu, Lei ; Sun, Yang

  • Author_Institution
    Fac. of Inf. Manage. & Inf. Syst.(Med.), China Med. Univ., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    This paper presents an improved watershed segmentation method based on multi-scale edge detection which is applied to cell image segmentation. First, advantage of using morphology for the edge detection is discussed, secondly, multi-scale edge detection method is constructed by the weighted combination of morphological operations. After using the multi-scale edge detection method, result is taken as the input of watershed segmentation, then implements region merging to get the final result. Experimental results show that the method can provide precise and closed region contour.
  • Keywords
    edge detection; image segmentation; medical image processing; transforms; cell image segmentation; morphological operations; morphology; multiscale edge detection; watershed segmentation; watershed transformation; weighted combination; Biomedical imaging; Finite element methods; Image edge detection; Image segmentation; Merging; Noise; Pixel; cell image segmentation; multi-scale edge detection; watershed transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.28
  • Filename
    5636803