• DocumentCode
    1119173
  • Title

    Organization of Relational Models for Scene Analysis

  • Author

    Shapiro, Linda G. ; Haralick, Robert M.

  • Author_Institution
    SENIOR MEMBER, IEEE, Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061.
  • Issue
    6
  • fYear
    1982
  • Firstpage
    595
  • Lastpage
    602
  • Abstract
    Relational models are commonly used in scene analysis systems. Most such systems are experimental and deal with only a small number of models. Unknown objects to be analyzed are usually sequentially compared to each model. In this paper, we present some ideas for organizing a large database of relational models. We define a simple relational distance measure, prove it is a metric, and using this measure, describe two organizational/access methods: clustering and binary search trees. We illustrate these methods with a set of randomly generated graphs.
  • Keywords
    Binary search trees; Image analysis; Image processing; Indexing; Layout; Organizing; Pattern matching; Pattern recognition; Relational databases; Shape; Database organization; graphs; relational distance; relational matching; relational models; structural pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1982.4767312
  • Filename
    4767312