• DocumentCode
    2117910
  • Title

    Image Segmentation Algorithm Based on Improved Weighted Fuzzy C-means Clustering

  • Author

    Xin, Jie ; Sha, Xiuyan

  • Author_Institution
    Sch. of Math. & Inf., Ludong Univ., Yantai
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    734
  • Lastpage
    737
  • Abstract
    This paper introduces an image segmentation algorithm of weighted with neighborhood gray difference fuzzy c-means clustering (WFCM) and experiments with the samples on two-dimensional histogram between the original image and its median filter image. Experimental results demonstrate that this scheme can not only effectively segment the low contrast object, but also reduce the noise from the background.
  • Keywords
    fuzzy set theory; image segmentation; median filters; pattern clustering; image segmentation; median filter image; two-dimensional histogram; weighted fuzzy c-means clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering, 2008. ISISE '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-2727-4
  • Type

    conf

  • DOI
    10.1109/ISISE.2008.294
  • Filename
    4732495
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2117910