• DocumentCode
    2463525
  • Title

    Ridge-detection for the perceptual organization without edges

  • Author

    Subirana-Vilanova, J. Brian ; Sung, Kah Kay

  • Author_Institution
    MIT Artificial Intelligence Lab., Cambridge, MA, USA
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    57
  • Lastpage
    64
  • Abstract
    The authors present a novel vector ridge detector which automatically finds the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features of the ridge detector is that it has a zero response at discontinuities. The ridge detector can be applied both to scalar and vector quantities such as color. A parallel perceptual organization scheme that works without edges and is based on the ridge detector is also presented. In addition to perceptual groups, the scheme computes potential focus of attention points at which to direct future processing. The relation to human perception and several theoretical findings supporting the scheme are presented. Results of a Connection Machine implementation of the scheme are presented for perceptual organization using color
  • Keywords
    computer vision; image recognition; Connection Machine implementation; human perception; multiple steps; narrow valleys; noise; parallel perceptual organization scheme; perceptual organization; ridge detection; scalar quantities; vector quantities; vector ridge detector; Artificial intelligence; Brightness; Color; Colored noise; Detectors; Focusing; Image edge detection; Image segmentation; Laboratories; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378235
  • Filename
    378235