Title :
Fundamentals of fuzzy knowledge base for image understanding
Author :
Nakagawa, Yukiko ; Hirota, Kaoru
Author_Institution :
Dept. of Syst. Eng., Hosei Univ., Koganei, Japan
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
Keywords :
fuzzy logic; image recognition; knowledge based systems; natural language interfaces; object recognition; ambiguous recognition results; answer generation; data-word transformation; daylight changes; fuzzy IF-THEN rules; fuzzy frame knowledge-based system; fuzzy knowledge base; fuzzy matching; image understanding; natural language instructions; user-friendly information retrieval system; weather conditions; Humans; Image processing; Image recognition; Image retrieval; Information retrieval; Natural languages; Roads; Robot vision systems; Steel; Vehicle dynamics;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409826
