• DocumentCode
    548183
  • Title

    The Cell Image Segmentation Based on the K-L Transform and OTSU Method

  • Author

    Lin, Zhonghua

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    25
  • Lastpage
    28
  • Abstract
    Automatic analysis of medical cell images has been gaining more importance in pharmacology research. Segmentation of cell images is the crucial step in their analysis since results of segmentation directly affect the following quantitative analysis steps. In this paper, we present a cell image segmentation method based on the K-L transform and OTSU method. By K-L transform we choose one channel and ensure an automatic threshold value by OTSU method. The method has been applied to the segmentation of several kinds of cell images. The experimental results show that the method is practical and effective; it has good robustness and ensures the accuracy.
  • Keywords
    cellular biophysics; image segmentation; medical computing; medical image processing; transforms; K-L transform; OTSU method; cell image segmentation method; medical cell image automatic analysis; Biomedical imaging; Covariance matrix; Databases; Image segmentation; Pixel; Symmetric matrices; Transforms; K-L transform; OTSU method; cell image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Signal Processing (CMSP), 2011 International Conference on
  • Conference_Location
    Guilin, Guangxi
  • Print_ISBN
    978-1-61284-314-8
  • Electronic_ISBN
    978-1-61284-314-8
  • Type

    conf

  • DOI
    10.1109/CMSP.2011.14
  • Filename
    5957366