A fuzzy knowledge base for dynamic image understanding

Yukiko Nakagawa; Kaoru Hirota; Witold Pedrycz

doi:10.1016/0167-8655(96)00024-4

A fuzzy knowledge base for dynamic image understanding

Yukiko Nakagawa^*, Kaoru Hirota, Witold Pedrycz

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科研成果: 期刊稿件 › 文章 › 同行评审

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摘要

A dynamic image understanding system for general roads in Japan using a Fuzzy Knowledge Base (FKB), that mainly employs a fuzzy frame knowledge base with a spool base, has been presented with experimental results. The fuzzy knowledge base enables the presented system to capture a gradually changing cognitive environment.

源语言	英语
页（从-至）	601-605
页数	5
期刊	Pattern Recognition Letters
卷	17
期	6
DOI	https://doi.org/10.1016/0167-8655(96)00024-4
出版状态	已出版 - 15 5月 1996
已对外发布	是

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10.1016/0167-8655(96)00024-4

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Nakagawa, Y., Hirota, K., & Pedrycz, W. (1996). A fuzzy knowledge base for dynamic image understanding. Pattern Recognition Letters, 17(6), 601-605. https://doi.org/10.1016/0167-8655(96)00024-4

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title = "A fuzzy knowledge base for dynamic image understanding",

abstract = "A dynamic image understanding system for general roads in Japan using a Fuzzy Knowledge Base (FKB), that mainly employs a fuzzy frame knowledge base with a spool base, has been presented with experimental results. The fuzzy knowledge base enables the presented system to capture a gradually changing cognitive environment.",

keywords = "Dynamic image understanding, Fuzzy knowledge base, Spool frame",

author = "Yukiko Nakagawa and Kaoru Hirota and Witold Pedrycz",

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A fuzzy knowledge base for dynamic image understanding

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