• DocumentCode
    3401399
  • Title

    Generalised complex moment descriptors

  • Author

    Zaid, A. Abo ; Horne, E.

  • Author_Institution
    Res. Center, Cairo, Egypt
  • fYear
    1991
  • fDate
    14-17 May 1991
  • Firstpage
    151
  • Abstract
    It is pointed out that, although complex moments are generally dependent, they have good noise immunity and simple rotational characteristics. However, due to the methods of normalization used previously, the results reported in the literature indicate that the complex moments approach is less efficient. The CMD (complex moment descriptor) provides a complete invariant set without any significant calculation for normalization with respect to rotation. A generalized algorithm for calculating the CMD coefficients is proposed. The calculation is simple and the output is a moments feature vector which is invariant to object transformation. Experimental results show the efficiency of the CMD in comparison with the combination approach
  • Keywords
    image recognition; complete invariant set; generalized algorithm; moments feature vector; noise immunity; rotational characteristics; Chromium; Error analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-0620-1
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1991.252147
  • Filename
    252147