• DocumentCode
    2413910
  • Title

    Classification of citrus and non-citrus fruits using texture features

  • Author

    Arivazhagan, S. ; Shebiah, R. Newlin ; Nidhyanandhan, S. Selva ; Ganesan, L.

  • Author_Institution
    Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi - 626 005, Tamilnadu, India
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Each species of a fruit has its own unique features, which enabled the proposed system to identify it accurately. The proposed system classifies citrus from Non-citrus fruits using the textural features. Features are extracted based on the statistical and co-occurrence features derived from Wavelet transformed sub bands. The classification is done by the minimum distance criterion. Experimental results on a database of about 200 fruits confirm the effectiveness of the proposed approach.
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on
  • Conference_Location
    Karur
  • Print_ISBN
    978-1-4244-6591-0
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2010.5591562
  • Filename
    5591562