• DocumentCode
    696920
  • Title

    Contour-based object recognition using wavelet-transform

  • Author

    Cheikh, Faouzi Alaya ; Quddus, Azhar ; Gabbouj, Moncef

  • Author_Institution
    Tampere University of Technology (TUT), Signal Processing Laboratory, P.O. Box 553, FIN-33101, Tampere, Finland
  • fYear
    2000
  • fDate
    4-8 Sept. 2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we propose a new approach for shape recognition using the wavelet transform modulus maxima. And we apply it to the problem of content-based indexing and retrieval of fish contours. The description scheme and the similarity measure proposed here are simple and take into consideration the way our visual system perceives objects and compares them. The proposed scheme is invariant to translation, rotation, scale change and to noise corruption. Moreover, this description scheme allows accurate reconstruction of the shape boundary from the feature vector used to describe it. The experimental results and comparisons show the good performance of the proposed technique.
  • Keywords
    Cascading style sheets; Feature extraction; Marine animals; Shape; Signal processing algorithms; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Conference_Location
    Tampere, Finland
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075766