• DocumentCode
    3414475
  • Title

    Using local pyramids for more robust object delineation

  • Author

    Konik, Hubert ; Laget, Bernard

  • Author_Institution
    Inst. d´´Ingenierie de la Vision Lab., Univ., Saint-Etienne, France
  • fYear
    1996
  • fDate
    8-9 Apr 1996
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multiresolution techniques are often used for image segmentation, emulating the human visual process. More precisely, image pyramids are especially well adapted for multiresolution representation. A new concept is proposed that uses a pyramid approach in image segmentation, by simulating the human vision in its attention focusing process. The method introduces local pyramids in reply to inherent limitations of the classical structure, especially the case of elongated or countless objects. To show the robustness of such a new technique, experimental results and comparisons with classical methods are given
  • Keywords
    digital simulation; image representation; image resolution; image segmentation; simulation; visual perception; attention focusing process; countless object; elongated objects; experimental results; human vision simulation; human visual process; image pyramids; image segmentation; local pyramids; multiresolution representation; robust object delineation; Encoding; Focusing; Humans; Image resolution; Image sampling; Image segmentation; Kernel; Object detection; Robustness; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-3200-8
  • Type

    conf

  • DOI
    10.1109/IAI.1996.493717
  • Filename
    493717