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International Work-Conference on Artificial Neural Networks

IWANN 2001: Bio-Inspired Applications of Connectionism pp 369–376Cite as

Rotation-Invariant Image Association for Endoscopic Positional Identification Using Complex-Valued Associative Memories

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

Abstract

In order to solve the problem for identifying the tip position of fiber scopes under the endoscopic surgery, we propose an image association system. The proposed system is realized by combining complex-valued associative memories with a 2-dimensional discrete Fourier transform, and it is capable of rotation-invariant image association. Simulation results using surface images observed through endoscope are also presented.

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References

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Tokyo National College of Technology, Hachiouji, 193-0997, Japan

    Hiroyuki Aoki

  2. Department of Neurosurgery, Tokyo Metropolitan Police Hospital, Tokyo, 102-8161, Japan

    Eiju Watanabe

  3. Tokyo Institute of Technology, Frontier Collaborative Research Center, Yokohama, 226-8503, Japan

    Atsushi Nagata & Yukio Kosugi

Authors
  1. Hiroyuki Aoki
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  2. Eiju Watanabe
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  3. Atsushi Nagata
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  4. Yukio Kosugi
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Aoki, H., Watanabe, E., Nagata, A., Kosugi, Y. (2001). Rotation-Invariant Image Association for Endoscopic Positional Identification Using Complex-Valued Associative Memories. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_44

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  • DOI: https://doi.org/10.1007/3-540-45723-2_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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