Chapter

Bio-Inspired Applications of Connectionism

Volume 2085 of the series Lecture Notes in Computer Science pp 369-376

Date:

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

  • Hiroyuki AokiAffiliated withDepartment of Electronic Engineering, Tokyo National College of Technology
  • , Eiju WatanabeAffiliated withDepartment of Neurosurgery, Tokyo Metropolitan Police Hospital
  • , Atsushi NagataAffiliated withTokyo Institute of Technology, Frontier Collaborative Research Center
  • , Yukio KosugiAffiliated withTokyo Institute of Technology, Frontier Collaborative Research Center

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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.