• DocumentCode
    1124417
  • Title

    A Pyramid-Based Approach to Segmentation Applied to Region Matching

  • Author

    Grosky, William I. ; Jain, Ramesh

  • Author_Institution
    Department of Computer Science, Wayne State University, Detroit, MI 48202.
  • Issue
    5
  • fYear
    1986
  • Firstpage
    639
  • Lastpage
    650
  • Abstract
    In this paper, we attempt to place segmentation schemes utilizing the pyramid architecture on a firm footing. We show that there are some images which cannot be segmented in principle. An efficient segmentation scheme is also developed using pyramid relinking. This scheme will normally have a time complexity which is a sublinear function of the image diameter, which compares favorably to other schemes. The efficacy of our approach to segmentation using pyramid schemes is demonstrated in the context of region matching. The global features we use are compared to those used in previous approaches and this comparison will indicate that our approach is more robust than the standard moment-based techniques.
  • Keywords
    Application software; Computer architecture; Computer graphics; Computer vision; Explosions; Image segmentation; Iterative algorithms; Parallel processing; Robot vision systems; Robustness; Pyramid architectures; pyramid relinking; region matching; segmentation;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1986.4767837
  • Filename
    4767837