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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	601-605
Number of pages	5
Journal	Pattern Recognition Letters
Volume	17
Issue number	6
DOIs	https://doi.org/10.1016/0167-8655(96)00024-4
Publication status	Published - 15 May 1996
Externally published	Yes

Keywords

Dynamic image understanding
Fuzzy knowledge base
Spool frame

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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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AU - Nakagawa, Yukiko

AU - Hirota, Kaoru

AU - Pedrycz, Witold

PY - 1996/5/15

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N2 - 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.

AB - 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.

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KW - Fuzzy knowledge base

KW - Spool frame

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DO - 10.1016/0167-8655(96)00024-4

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JO - Pattern Recognition Letters

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A fuzzy knowledge base for dynamic image understanding

Abstract

Keywords

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