• DocumentCode
    2115169
  • Title

    A Kind Of Cell Tracking Algorithm Based on Relaxation Iterative Segmentation Algorithm

  • Author

    Lan, Gan ; Fei-hu, Zheng

  • Author_Institution
    Sch. of Inf. Eng., East China Jiaotong Univ., Nanchang
  • fYear
    2008
  • fDate
    18-18 Dec. 2008
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    A boundary tracking algorithm with two-dimensional chain tables was proposed to find out the cell nucleus in cytoplasm of the same cell, in which firstly the relaxation iterative algorithm was used in the automatical cell segmentation of the cell nucleus and cytoplasm. As a result of the relaxation iterative cell segmentation, the cell nucleus and cytoplasm were separated from the background clearly, which made a good foundation for the cell boundary tracking. Then a 4-neighbour boundary tracking algorithm was used to get the two-dimensional chain tables of nuclear and cytoplasm, which based on external normal preferential algorithm. Finally, line scan algorithm was used in the scanning of the pixels of cytoplasm parallel so that the cell nucleus in cytoplasm of the same cell was found out, which was innovational and useful for the cell recognition. And at last some test results was presented to show the effectiveness of the proposed algorithm.
  • Keywords
    cellular biophysics; image segmentation; iterative methods; medical image processing; automatical cell segmentation; cell boundary tracking; cell nucleus; cell recognition; cell tracking algorithm; cytoplasm; line scan algorithm; relaxation iterative segmentation algorithm; two-dimensional chain; Adhesives; Biomedical engineering; Clustering algorithms; Eigenvalues and eigenfunctions; Gallium nitride; Image segmentation; Iterative algorithms; Microscopy; Seminars; Testing; boundary tracking; cell segmentation; chain table; nuclear; relaxation iterative;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3561-6
  • Type

    conf

  • DOI
    10.1109/FBIE.2008.61
  • Filename
    5076763