Knowledge-based image management system for object identification

Kwang Hoon Sohn, Jung H. Kim, Eui H. Park, C. A. Ntuen

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

A prototype model of a knowledge-based image management system (KIMS), consisting of an image processing system and an expert system, was developed to demonstrate the feasibility of the automated inspection of a target object from X-ray images. It is shown that if the procedural knowledge and the declarative knowledge are known, rules can be developed which will be used to identify a target object from X-ray images. The authors report results for the various image analysis states of preprocessing, segmentation, feature extraction, understanding, and interpretation in KIMS with particular application to a regional representation scheme.

Original languageEnglish
Pages (from-to)965-970
Number of pages6
JournalConference Proceedings - IEEE SOUTHEASTCON
Volume3
Publication statusPublished - 1989
EventProceedings - Energy and Information Technologies in the Southeast - Columbia, SC, USA
Duration: 1989 Apr 91989 Apr 12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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