Skip to main content
Springer Nature Link
Log in

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

  • Conference paper
  • First Online:
Bio-Inspired Applications of Connectionism (IWANN 2001)

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

Included in the following conference series:

  • 450 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Eiju Watanabe: Endoscopic surgery guided by neuronavigator, Clinical Neuroscience (in Japanese), Vol.16,No.12, pp.1419–1422 (1988)

    Google Scholar 

  2. E Watanabe, Y Mayanagi, Y Kosugi et al: Open surgery assisted by the neuronavigator, a stereotactic articulated, sensitive arm. Neurosurgery 28, pp.792–800 (1991)

    Article  Google Scholar 

  3. Igor Aizenberg, Naum. Aizenberg, Joos Vandewalle: Multi-Valued and Universal Binary Neurons. Kluwer Academic Publishers (2000)

    Google Scholar 

  4. A. Hirose: Proposal of fully complex-valued neural networks, Proc. of IJCNN’92 Baltimore, U.S.A, vol.IV, pp.152–157, (1992).

    Google Scholar 

  5. H Aoki: Analysis of equilibrium states of hopfield associative memory extended to complex number field. IEICE Trans., vol.J78-A,no.9, pp.1238–1241, (Sept. 1995)

    Google Scholar 

  6. S. Jakkowski, A. Lozowskik and J.M. Zurada: Complex-valued multistate neural associative memory, IEEE Trans. on Neural Networks, vol.7,no.6, pp.1491–1496, (Nov.1996)

    Article  Google Scholar 

  7. H. Aoki, MR. Azimi-Sadjadi, Y. Kosugi: Image Association Using a Complex-Valued Associative Memory Model. IEICE Trans. Fundamentals, Vol.E83-A,No.9, pp.1824–1832, (Sept. 2000).

    Google Scholar 

  8. H. Aoki, Y. Kosugi: An Image Storage System Using Complex-Valued Associative Memories. 15th International Conference on Pattern Recognition Barcelona 2000 Vol. 2 pp.626–629 (Sept. 2000)

    Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eiju Watanabe
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Atsushi Nagata
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yukio Kosugi
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation