• DocumentCode
    1936066
  • Title

    A New Approach for Touching Cells Segmentation

  • Author

    Nasr-Isfahani, Shirin ; Mirsafian, Atefeh ; Masoudi-Nejad, Ali

  • Author_Institution
    Dept. of Math Sci., Sharif Univ. of Technol., Tehran
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    816
  • Lastpage
    820
  • Abstract
    Automatic cell segmentation has various applications in different parts of science. The development of automated methods for cell segmentation, remains challenging in situations where there are touching cells. In this paper we propose a new method for separating touching cells. As the first step, we use a combination of graph segmentation algorithm and thresholding for segmenting foreground objects and producing a binary image. Next, boundary points of separation zone are selected by using a corner detection algorithm. Finally, the marker controller watershed transform is applied to separate touching cells at selected points.
  • Keywords
    cellular biophysics; image segmentation; medical image processing; separation; automatic cell segmentation; binary image; corner detection algorithm; foreground object segmentation; graph segmentation algorithm; marker controller watershed transform; separation zone; thresholding algorithm; touching cell separation; touching zone; Bioinformatics; Biomedical engineering; Biomedical informatics; Detection algorithms; Fungi; Image processing; Image segmentation; Microscopy; Shape control; Size control; Corner Detection; Graph Segmentation; Thresholding; Touching Cells; Watershed Ttransform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.262
  • Filename
    4548784