• DocumentCode
    2554071
  • Title

    Image Segmentation Based on Cloud Concept Analysis

  • Author

    Qin, Kun ; Wu, Fangfang ; Xu, Kai ; Li, Deyi

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a novel method of image segmentation based on cloud concept analysis. The histogram of image is transformed into modes expressed by cloud models, and an image pan concept tree representing different granularities is generated by concept ascending. Image segmentation is accomplished through choosing proper granularities and corresponding concept hierarchy. Experimental results and comparisons with other methods confirm the validity of the proposed method.
  • Keywords
    image segmentation; transforms; trees (mathematics); cloud concept analysis; image histogram; image pan concept tree; image segmentation; Appraisal; Clouds; Generators; Histograms; Image segmentation; Pixel; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600658
  • Filename
    5600658
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2554071