• DocumentCode
    1887578
  • Title

    A novel overlapping mice macrophages images segmentation method

  • Author

    Xia, Ruihua ; Wang, Ping ; Zhang, Wu ; Xiong, Qi

  • Author_Institution
    Inf. Eng. Sch., Nanchang Univ., Nanchang
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    40
  • Lastpage
    43
  • Abstract
    Aiming at the overlapping phenomenon that exists among the cells in the actual mice macrophages image, this paper presents the method of image segmentation based on Otsu threshold and watershed of distance transform. The image is first segmented by Otsu threshold algorithm. Then erosion and dilation morphological operators are used to get rid of noises. Finally, the watershed algorithm based on distance transform is carried out to segment the image. Experimental results show this method works successfully in the segmentation of mice macrophages microscopic images.
  • Keywords
    cellular biophysics; image segmentation; medical image processing; transforms; Otsu threshold algorithm; cells; dilation morphological operator; distance transform; image segmentation method; mice macrophages image overlapping method; watershed algorithm; Biomedical imaging; Histograms; Image segmentation; Immune system; Least squares methods; Mice; Microscopy; Morphology; Pixel; Space technology; distance transformation; image segmentation; morphology; overlapping mice macrophages; watershed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
  • Conference_Location
    Taizhou
  • Print_ISBN
    978-1-4244-3987-4
  • Type

    conf

  • DOI
    10.1109/IASP.2009.5054633
  • Filename
    5054633