Abstract
Fundamentals of fuzzy knowledge base for image understanding are dealt with. It consists of the data-word transformation part (to transform numerical data, derived from image processing, into words) and answer generation part (to answer about objects and phenomena in the image world). Ambiguous recognition results are handled by a fuzzy matching and a fuzzy frame knowledge-based system. By applying fuzzy IF - THEN rules, the process of image understanding can be made independent of weather conditions and daylight changing. This system also employs user friendly information retrieval system by applying natural language instructions.
| Original language | English |
|---|---|
| Pages | 1137-1142 |
| Number of pages | 6 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) - Yokohama, Jpn Duration: 20 Mar 1995 → 24 Mar 1995 |
Conference
| Conference | Proceedings of the 1995 IEEE International Conference on Fuzzy Systems. Part 1 (of 5) |
|---|---|
| City | Yokohama, Jpn |
| Period | 20/03/95 → 24/03/95 |
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