Pattern Recognition & Image Understanding based on Fuzzy Technology | Zendy

Kaoru Hirota | Zendy; Yoshinori Arai | Zendy; Yukiko Nakagawa | Zendy

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Pattern Recognition & Image Understanding based on Fuzzy Technology

Author(s) -

Kaoru Hirota,

Yoshinori Arai,

Yukiko Nakagawa

Publication year - 1997

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.1997.p0071

Subject(s) - computer science , artificial intelligence , fuzzy logic , fuzzy clustering , pattern recognition (psychology) , fuzzy inference , neuro fuzzy , fuzzy classification , data mining , defuzzification , discriminant , fuzzy control system , adaptive neuro fuzzy inference system , machine learning , computer vision , fuzzy set , fuzzy number

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.

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