• DocumentCode
    2968356
  • Title

    New regular moment invariants to classify elongated and contracted images

  • Author

    Raveendran, P. ; Jegannathan, S. ; Omatu, Sigeru

  • Author_Institution
    Fac. of Eng., Malaya Univ., Kuala Lumpur, Malaysia
  • Volume
    3
  • fYear
    1993
  • fDate
    25-29 Oct. 1993
  • Firstpage
    2089
  • Abstract
    This paper presents a technique to classify images that have been elongated or contracted. It is first shown that the conventional regular moment invariant remains no longer invariant when the image is scaled unequally in the x-and y-directions. A method is proposed to form moment invariants that do not change under such unequal scaling. Results of computer simulations for images are also included verifying the validity of the method proposed.
  • Keywords
    image classification; contracted image classification; elongated image classification; regular moment invariants; Application software; Computer simulation; Image coding; Intelligent systems; Pattern recognition; Reflection; Shape; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.714135
  • Filename
    714135