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.
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1982.4767312