{"title":"图像理解模糊知识库基础","authors":"Y. Nakagawa, K. Hirota","doi":"10.1109/FUZZY.1995.409826","DOIUrl":null,"url":null,"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.<<ETX>>","PeriodicalId":150477,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Fundamentals of fuzzy knowledge base for image understanding\",\"authors\":\"Y. Nakagawa, K. Hirota\",\"doi\":\"10.1109/FUZZY.1995.409826\",\"DOIUrl\":null,\"url\":null,\"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.<<ETX>>\",\"PeriodicalId\":150477,\"journal\":{\"name\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1995.409826\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 IEEE International Conference on Fuzzy Systems.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1995.409826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fundamentals of fuzzy knowledge base for image understanding
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.<>
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