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Image Pattern Recognition Based on Fuzzy Technology

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Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

Part of the book series: NATO ASI Series ((NATO ASI F,volume 162))

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Abstract

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.

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References

  1. J.C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York. 1981

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  2. K. Hirota, K. Iwama: Application of Modified FCM with Additional Data to Area Division of Images, Information Sciences, Vol. 45, pp.213–230, 1988

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  3. K. Hirota, Y. Arai, S. Hachisu: Moving Mark Recognition and Moving Object Manipulation in Fuzzy Controlled Robot, J. of Control-Theory and Advanced Technology, Vol. 2, No.3, pp.399–418, 1986

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  4. Y. Nakagawa, K. Hirota, W. Pedrycy: Dynamic Image Understanding on General Roads in Japan Using Fuzzy Frame Knowledge Base with Spool Base, Int. J. of Scientia Iranica (accepted)

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Author information

Authors and Affiliations

  1. Dept. of Computational Intelligence & Systems Science, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226, Japan

    Kaoru Hirota & Yukiko Nakagawa

  2. Research & Education Center of Software Engineering, Tokyo Institute of Polytechnics, 1583 Iiyama, Atsugi, 243-02, Japan

    Yoshinori Arai

Authors
  1. Kaoru Hirota
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  2. Yoshinori Arai
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  3. Yukiko Nakagawa
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Editor information

Editors and Affiliations

  1. Faculty of Engineering, Bogaziçi University, Istanbul, TR-80815, Turkey

    Okyay Kaynak

  2. Computer Science Division, University of California at Berkeley, Berkeley, CA, 94720-1776, USA

    Lotfi A. Zadeh

  3. University of Toronto, Ontario, M5S 3G8, Canada

    Burhan Türkşen

  4. Bánki Donát Polytechnic, Népszinház u. 8, Budapest, H-1081, Hungary

    Imre J. Rudas

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© 1998 Springer-Verlag Berlin Heidelberg

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Hirota, K., Arai, Y., Nakagawa, Y. (1998). Image Pattern Recognition Based on Fuzzy Technology. In: Kaynak, O., Zadeh, L.A., Türkşen, B., Rudas, I.J. (eds) Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications. NATO ASI Series, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58930-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-58930-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63796-4

  • Online ISBN: 978-3-642-58930-0

  • eBook Packages: Springer Book Archive

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