• DocumentCode
    2378680
  • Title

    An efficient extension to chain codes for external image representation

  • Author

    Nallaperumal, Krishnan ; Varghese, Justin ; Saudia, S. ; Ranjani, Jennifer J. ; Velu, Comdr K. ; Kannan, Senthamarai S.

  • Author_Institution
    Centre for Inf. Technol. & Eng., Manonmaniam Sundaranar Univ., Tirunelveli
  • fYear
    0
  • fDate
    0-0 0
  • Lastpage
    5
  • Abstract
    A novel contour representation algorithm for binary images which is an extension of the conventional chain code is proposed in this paper. The algorithm exploits the features of the conventional chain code when advantageous, is precise and simple with lesser computational complexity than most of the other standard shape representation algorithms. It uses very low bit-rate compared to the conventional chain code and is more robust to noise. The corresponding reconstruction algorithm is completely reversible to give the lossless reconstruction of the contour. Experimental results on various binary images add to the improved efficiency claim of the proposed contour representation algorithm in terms of visual fidelity and bit-rate
  • Keywords
    computational complexity; image coding; image reconstruction; image representation; binary images; bit-rate; chain codes; computational complexity; contour representation algorithm; external image representation; reconstruction algorithm; shape representation algorithms; visual fidelity; Character recognition; Educational institutions; Image coding; Image reconstruction; Image representation; Image segmentation; Information technology; Object recognition; Reconstruction algorithms; Shape; Chain code; closing; contour; dilation; erosion; opening; representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Networks, 2006 IFIP International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    1-4244-0340-5
  • Type

    conf

  • DOI
    10.1109/WOCN.2006.1666674
  • Filename
    1666674