The hybrid image processing/expert image analysis system

Author

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

Author_Institution

North Carolina A&T State Univ., Greensboro, NC, USA

fYear

1990

fDate

11-13 Mar 1990

Firstpage

110

Lastpage

114

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 human inspector´s intervention in the image processing system, and a rule-based approach is used in the expert system

Keywords

computerised pattern recognition; computerised picture processing; expert systems; knowledge based systems; KIAS; X-ray image; computerised picture picture processing; expert system; feature extraction; image processing/expert image analysis system; knowledge based image analysis system; knowledge representation; object interpretation; rule-based approach; segmentation; Expert systems; Feature extraction; Humans; Image analysis; Image processing; Image segmentation; Knowledge representation; Layout; Prototypes; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1990., Twenty-Second Southeastern Symposium on

Conference_Location

Cookeville, TN

ISSN

0094-2898

Print_ISBN

0-8186-2038-2

Type

conf

DOI

10.1109/SSST.1990.138122

Filename

138122