Pattern Recognition & Image Understanding based on Fuzzy Technology

Kaoru Hirota; Yoshinori Aral; Yukiko Nakagawa

doi:10.20965/jaciii.1997.p0071

Pattern Recognition & Image Understanding based on Fuzzy Technology

Kaoru Hirota^*
, Yoshinori Aral
, Yukiko Nakagawa^*

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Four image recognition and understanding techniques based on fuzzy technology developed by the authors group have been surveyed. First topics is a fuzzy clustering with additional data applied to the remote sensing images. It is modified version of the well known FCM. A robot arm and vision system on assembling line is presented using fuzzy discriminant tree for a real time use. The repetition method is introduced into the construction of discriminant tree. Third is the pattern recognition for a models of cars which is applied a fuzzy hierarchical pattern recognition based on fixation feedback. Finally, a fuzzy dynamic image understanding system is presented using fuzzy knowledge base and fuzzy inference method to understand dynamic image understanding on general roads in Japan. These techniques are mentioned the algorithms, and some of them are with experimental results.

Original language	English
Pages (from-to)	71-78
Number of pages	8
Journal	Journal of Advanced Computational Intelligence and Intelligent Informatics
Volume	1
Issue number	1
DOIs	https://doi.org/10.20965/jaciii.1997.p0071
Publication status	Published - Oct 1997
Externally published	Yes

Keywords

Clustering
Fuzzy
Image understanding
Pattern recognition
Robot vision

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10.20965/jaciii.1997.p0071

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title = "Pattern Recognition \& Image Understanding based on Fuzzy Technology",

abstract = "Four image recognition and understanding techniques based on fuzzy technology developed by the authors group have been surveyed. First topics is a fuzzy clustering with additional data applied to the remote sensing images. It is modified version of the well known FCM. A robot arm and vision system on assembling line is presented using fuzzy discriminant tree for a real time use. The repetition method is introduced into the construction of discriminant tree. Third is the pattern recognition for a models of cars which is applied a fuzzy hierarchical pattern recognition based on fixation feedback. Finally, a fuzzy dynamic image understanding system is presented using fuzzy knowledge base and fuzzy inference method to understand dynamic image understanding on general roads in Japan. These techniques are mentioned the algorithms, and some of them are with experimental results.",

keywords = "Clustering, Fuzzy, Image understanding, Pattern recognition, Robot vision",

author = "Kaoru Hirota and Yoshinori Aral and Yukiko Nakagawa",

note = "Publisher Copyright: {\textcopyright} Fuji Technology Press Ltd.",

year = "1997",

month = oct,

doi = "10.20965/jaciii.1997.p0071",

language = "English",

volume = "1",

pages = "71--78",

journal = "Journal of Advanced Computational Intelligence and Intelligent Informatics",

issn = "1343-0130",

publisher = "Fuji Technology Press",

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T1 - Pattern Recognition & Image Understanding based on Fuzzy Technology

AU - Hirota, Kaoru

AU - Aral, Yoshinori

AU - Nakagawa, Yukiko

N1 - Publisher Copyright: © Fuji Technology Press Ltd.

PY - 1997/10

Y1 - 1997/10

N2 - Four image recognition and understanding techniques based on fuzzy technology developed by the authors group have been surveyed. First topics is a fuzzy clustering with additional data applied to the remote sensing images. It is modified version of the well known FCM. A robot arm and vision system on assembling line is presented using fuzzy discriminant tree for a real time use. The repetition method is introduced into the construction of discriminant tree. Third is the pattern recognition for a models of cars which is applied a fuzzy hierarchical pattern recognition based on fixation feedback. Finally, a fuzzy dynamic image understanding system is presented using fuzzy knowledge base and fuzzy inference method to understand dynamic image understanding on general roads in Japan. These techniques are mentioned the algorithms, and some of them are with experimental results.

AB - Four image recognition and understanding techniques based on fuzzy technology developed by the authors group have been surveyed. First topics is a fuzzy clustering with additional data applied to the remote sensing images. It is modified version of the well known FCM. A robot arm and vision system on assembling line is presented using fuzzy discriminant tree for a real time use. The repetition method is introduced into the construction of discriminant tree. Third is the pattern recognition for a models of cars which is applied a fuzzy hierarchical pattern recognition based on fixation feedback. Finally, a fuzzy dynamic image understanding system is presented using fuzzy knowledge base and fuzzy inference method to understand dynamic image understanding on general roads in Japan. These techniques are mentioned the algorithms, and some of them are with experimental results.

KW - Clustering

KW - Fuzzy

KW - Image understanding

KW - Pattern recognition

KW - Robot vision

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DO - 10.20965/jaciii.1997.p0071

M3 - Article

AN - SCOPUS:85010896898

SN - 1343-0130

VL - 1

SP - 71

EP - 78

JO - Journal of Advanced Computational Intelligence and Intelligent Informatics

JF - Journal of Advanced Computational Intelligence and Intelligent Informatics

IS - 1

ER -

Pattern Recognition & Image Understanding based on Fuzzy Technology

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Keywords

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