• DocumentCode
    3063165
  • Title

    Peano scanning of arbitrary size images

  • Author

    Pérez, A. ; Kamata, S. ; Kawaguchi, E.

  • Author_Institution
    Centro de Inteligencia Artificial, ITESM, Monterrey, Mexico
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    565
  • Lastpage
    568
  • Abstract
    Discrete space-filling curves are not uniquely defined. In addition to the condition that the curve must pass all the points of the array only once, continuously, it is necessary to add some critera to select the best curves. The authors aim is to preserve two-dimensional continuity as much as possible. The weighted sum of the distances of the points in the curve is minimized, where the weights are inversely proportional to the spatial distance between the points. However, the minimum is not unique. Particularly, space-filling curves always come on symmetric pairs. The generation of a near optimal space-filling curve is done hierarchically
  • Keywords
    image processing; transforms; Peano scanning; arbitrary size images; discrete space-filling curves; image processing; near optimal space-filling curve; transforms; two-dimensional continuity; Application software; Computational efficiency; Filling; Hypercubes; Iterative algorithms; Layout; Multidimensional systems; Noise generators; Parameter estimation; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202050
  • Filename
    202050