• DocumentCode
    1965468
  • Title

    Study on efficient image indexing method based on adaptive fuzzy clustering

  • Author

    Jun, Zhang Tie ; Duo, Chen

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tangshan Coll., Tangshan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-11 July 2010
  • Firstpage
    200
  • Lastpage
    201
  • Abstract
    This paper presents a method of automatic acquisition threshold value that changes dynamically with data distribution by polynomial fitting technique. The proposed method overcomes the sensitivity to cluster centers and locality of FCM (fuzzy c-means) algorithm and establishes an index mechanism on the basis of above analysis. Simulations show that the adaptable fuzzy clustering image indexing performs well in retrieval efficiency.
  • Keywords
    fuzzy set theory; image retrieval; pattern clustering; polynomials; adaptive fuzzy clustering; automatic acquisition threshold value; data distribution; fuzzy c-mean algorithm; image indexing method; image retrieval; polynomial fitting technique; Algorithm design and analysis; Clustering algorithms; Silicon; Tin; content-based retrieval; fuzzy clustering; image search engine; indexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (IIS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7860-6
  • Type

    conf

  • DOI
    10.1109/INDUSIS.2010.5565642
  • Filename
    5565642
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1965468