TY - GEN
T1 - The hybrid image processing/expert image analysis system
AU - Kim, Jung H.
AU - Park, Eui H.
AU - Ntuen, Celestine
AU - Sohn, Kwang H.
AU - Alexander, W.
PY - 1990
Y1 - 1990
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0025623190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025623190&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025623190
SN - 0818620382
T3 - Proceedings of the Annual Southeastern Symposium on System Theory
SP - 110
EP - 114
BT - Proceedings of the Annual Southeastern Symposium on System Theory
PB - Publ by IEEE
T2 - Proceedings of the 22nd Southeastern Symposium on System Theory
Y2 - 11 March 1990 through 13 March 1990
ER -