• DocumentCode
    3523507
  • Title

    A New Image Segmentation Approach by Using Automation Threshold Selection

  • Author

    Zou, YunLan ; Chai, Bencheng ; Xiao, Qili

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., Zhejiang Wanli Univ., Ningbo, China
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    410
  • Lastpage
    413
  • Abstract
    This paper presents a new image segmentation approach by suing automatic threshold selection. This approach divides the image into 2 class. The best threshold is got when the separation between the interclass variance and the variance between clasters is the maximal. Experimental results show this new approach can segment images automatically and quickly.
  • Keywords
    image segmentation; automation threshold selection; image segmentation; interclass variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8125-5
  • Electronic_ISBN
    978-0-7695-4189-1
  • Type

    conf

  • DOI
    10.1109/SKG.2010.72
  • Filename
    5663712
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3523507