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Erschienen in:
1998 | OriginalPaper | Buchkapitel
Image Pattern Recognition Based on Fuzzy Technology
verfasst von : Kaoru Hirota, Yoshinori Arai, Yukiko Nakagawa
Erschienen in: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Various image pattern recognition techniques based on fuzzy technology developed by the authors’ group have been surveyed. First fuzzy clustering is applied to the remote sensing images. It is a modified version of the well known FCM. Then a shape recognition algorithm is presented for a robotics assembling line. It is a fuzzy discriminant tree method for real-time use. Finally a fuzzy dynamic image understanding system is presented. It can understand the dynamic images on general roads in Japan, where a fuzzy frame based knowledge representation and a special kind of fuzzy inference engine are introduced.