• DocumentCode
    2879866
  • Title

    Enhanced Generic Fourier Descriptors for object-based image retrieval

  • Author

    Zhang, Dengsheng ; Lu, Guojun

  • Author_Institution
    Gippsland School of Computing and Info Tech, Monash University, Churchill, Victoria 3842, Australia
  • Volume
    4
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    Shape (object) description consists a key part of image content description in MPEG-7. Most of existing shape descriptors are usually either application dependent or non-robust, making them undesirable for generic shape description. In this paper, an Enhanced Generic Fourier Descriptor (EGFD) is presented to overcome the drawbacks of existing shape representation techniques. The EGFD is obtained based on our previously proposed Generic Fourier Descriptors (GFD). It is acquired by deriving GFD from the rotation and scale normalized shape. Experimental results show that the proposed EGFD outperforms GFD and Zernike moments descriptors (ZMD) significantly.
  • Keywords
    IEC; ISO; Robustness; Transform coding; CBIR; Generic Fourier descriptors; retrieval; shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5745451
  • Filename
    5745451