• DocumentCode
    3462541
  • Title

    Shape recognition using a novel fractal technique

  • Author

    Neil, G. ; Curtis, K.M. ; Craven, M.P.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nottingham Univ., UK
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 Oct 1996
  • Firstpage
    724
  • Abstract
    Fractal transformations are an exciting new scale invariant shape recognition technique developed by the authors. They have been successfully used for spatially invariant shape recognition using a cumbersome rotational invariance algorithm. Within this paper a new rotational invariance algorithm is presented which makes the recognition process inherently rotationally invariant. A full discussion of fractal recognition is given and previous results discussed. The new algorithm is detailed and applied to a difficult recognition problem. The results of this application show that the new algorithm is successful in achieving the desired effect
  • Keywords
    fractals; image recognition; fractal transformation; rotational invariance algorithm; shape recognition; Feature extraction; Fractals; Image coding; Image recognition; Machine vision; Noise robustness; Noise shaping; Parallel processing; Pattern matching; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Rodos
  • Print_ISBN
    0-7803-3650-X
  • Type

    conf

  • DOI
    10.1109/ICECS.1996.584464
  • Filename
    584464