The hybrid image processing/expert image analysis system

Jung H. Kim, Eui H. Park, Celestine Ntuen, Kwang H. Sohn, W. Alexander

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The main purpose of this work is to analyze and interpret the X-ray image by using some knowledge base that relates objects within a scene to one another and to the scene background. Knowledge-based Image Analysis System (KIAS) is a prototype environment for image analysis and interpretation. KIAS consists of an image processing system and an expert system. It oversees image preprocessing, segmentation, feature extraction, knowledge representation, and object interpretation. An automatic segmentation algorithm is used to minimize a human inspector's intervention in the image processing system, and a rule-based approach is used in the expert system.

Original languageEnglish
Title of host publicationProceedings of the Annual Southeastern Symposium on System Theory
PublisherPubl by IEEE
Pages110-114
Number of pages5
ISBN (Print)0818620382
Publication statusPublished - 1990 Dec 1
EventProceedings of the 22nd Southeastern Symposium on System Theory - Cookeville, TN, USA
Duration: 1990 Mar 111990 Mar 13

Publication series

NameProceedings of the Annual Southeastern Symposium on System Theory

Other

OtherProceedings of the 22nd Southeastern Symposium on System Theory
CityCookeville, TN, USA
Period90/3/1190/3/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mathematics(all)

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  • Cite this

    Kim, J. H., Park, E. H., Ntuen, C., Sohn, K. H., & Alexander, W. (1990). The hybrid image processing/expert image analysis system. In Proceedings of the Annual Southeastern Symposium on System Theory (pp. 110-114). (Proceedings of the Annual Southeastern Symposium on System Theory). Publ by IEEE.