• DocumentCode
    1121225
  • Title

    Compact Region Extraction Using Weighted Pixel Linking in a Pyramid

  • Author

    Hong, T.H. ; Rosenfeld, Azriel

  • Author_Institution
    Center for Automation Research, University of Maryland, College Park, MD 20742; National Bureau of Standards, Washington, DC 20234.
  • Issue
    2
  • fYear
    1984
  • fDate
    3/1/1984 12:00:00 AM
  • Firstpage
    222
  • Lastpage
    229
  • Abstract
    This correspondence describes a method of image segmentation based on a ``pyramid´´ of reduced-resolution versions of the image. It defines link strengths between pixels at adjacent levels of the pyramid, based on proximity and similarity, and iteratively recomputes the pixel values and adjusts the link strengths. After a few iterations, the strengths stabilize, and the links that remain strong define subtrees of the pyramid; the leaves of each tree are the pixels belonging to a compact (piece of a) homogeneous region in the image.
  • Keywords
    Automation; Image representation; Image resolution; Image segmentation; Joining processes; Laboratories; Merging; NIST; Night vision; Pixel; Compact region extraction; image pyramids; multiresolution methods; pixel linking; segmentation;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1984.4767505
  • Filename
    4767505