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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@article{1f274e2e0ae745d1940cea221ad67e7e,

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",

year = "1996",

month = may,

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doi = "10.1016/0167-8655(96)00024-4",

language = "English",

volume = "17",

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T1 - A fuzzy knowledge base for dynamic image understanding

AU - Nakagawa, Yukiko

AU - Hirota, Kaoru

AU - Pedrycz, Witold

PY - 1996/5/15

Y1 - 1996/5/15

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.

KW - Dynamic image understanding

KW - Fuzzy knowledge base

KW - Spool frame

UR - https://www.scopus.com/pages/publications/0030148075

U2 - 10.1016/0167-8655(96)00024-4

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

M3 - Article

AN - SCOPUS:0030148075

SN - 0167-8655

VL - 17

SP - 601

EP - 605

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 6

ER -

A fuzzy knowledge base for dynamic image understanding

Abstract

Keywords

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