Knowledge-based image understanding: A rule-based production system for X-ray segmentation

ICEIS 2002 - Proceedings of the 4th International Conference on Enterprise Information Systems

Volumn 1, Issue , 2002, Pages 530-533

  Su, Linying ^a   Sharp, Bernadette ^a   Chibelushi, Claude ^a  

^a STAFFORDSHIRE UNIVERSITY   (United Kingdom)

Author keywords

Knowledge based approach; Multiple knowledge sources; Segmentation; Spatial reasoning

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATION THEORY; IMAGE PROCESSING; IMAGE UNDERSTANDING; INFORMATION SYSTEMS; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; SEMANTICS;

IMAGE UNDERSTANDING SYSTEMS; KNOWLEDGE SOURCES; KNOWLEDGE-BASED APPROACH; RULE-BASED PRODUCTION SYSTEMS; SEMANTIC KNOWLEDGE; SPATIAL REASONING; X-RAY IMAGE;

IMAGE SEGMENTATION;

EID: 84909590320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Ranganath, H., Greene, R., 1988. Knowledge Representation in Expert Vision Systems. ACM. The University of Alabama in Huntsville, Huntsville, Alabama, US.
2. Jain, A., Duin, R., Mao, J., 2000. Statistical Pattern Recognition: A Review. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22. No. 1.
3. Nazif, A. M., Levine, M. D., 1984. Low level Image Segmentation: An Expert System, IEEE Transactions On Pattern Analysis and Machine Intelligence, Vol. PAMI-6, No. 5.
4. Shanahan, J., 2000. Soft Computing for Knowledge Discovery, Kluwer Academic Publishers, London.