• DocumentCode
    3420879
  • Title

    An improved algorithm of rat sperm image segmentation and counting

  • Author

    Ren, Yaheng ; Wen, Peizhi ; Li, Song ; Liang, Yuanyuan ; Huang, Wengming

  • Author_Institution
    Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    Aiming at the poor real-time characteristics of traditional Ostu for rat sperm image segmentation, we improved this Ostu-based segmentation to reduce its computational time by using Newton iteration. This improved algorithm applies the shape factors to remove impurities and morphology to mark each sperm with digital tags. The experiments show that this method provides fast and accurate sperm image segmentation and automatic counting of the number of sperms in the images.
  • Keywords
    image segmentation; Newton iteration; Ostu; automatic counting; digital tags; image segmentation; impurities; morphology; rat sperm; shape factor; Biological cells; Image segmentation; Impurities; Ostu; digital tags; image segmentation; shape factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-6834-8
  • Type

    conf

  • DOI
    10.1109/ICISS.2010.5656820
  • Filename
    5656820
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3420879