Title :
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
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;
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-2038-2
DOI :
10.1109/SSST.1990.138122
