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

Authors:
Hiroyuki Aoki;Eiju Watanabe;Atsushi Nagata;Yukio Kosugi
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Year:
2001

Citing 2
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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.