• DocumentCode
    1114746
  • Title

    Shape Matching Using Relaxation Techniques

  • Author

    Davis, Larry S.

  • Author_Institution
    Department of Computer Science, University of Texas at Austin, Austin, TX 78712.
  • Issue
    1
  • fYear
    1979
  • Firstpage
    60
  • Lastpage
    72
  • Abstract
    The problem of finding approximate matches of pieces of shapes to parts of larger shapes is investigated. The shapes are represented by polygonal approximations. Initially, figures of merit are assigned to the matches between pairs of angles on the two shapes. Relaxation methods are then used to find acceptable combinations of these matches. This approach was tested on a data base consisting of digitized coastlines in various map projections. In nearly all cases, all matches except the correct one were eliminated by the relaxation processes.
  • Keywords
    Computer science; Image analysis; Image segmentation; Labeling; Noise shaping; Relaxation methods; Remote sensing; Satellites; Shape measurement; Testing; Image processing; matching; relaxation techniques; search procedures; shape;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1979.4766876
  • Filename
    4766876