Optodigital neural network classifier

Alain Bergeron; Henri H. Arsenault; Michel Doucet; Luc Veilleux; Denis J. Gingras

doi:10.1117/1.601551

1 November 1997 Optodigital neural network classifier

Alain Bergeron, Henri H. Arsenault, Michel Doucet, Luc Veilleux, Denis J. Gingras

Optical Engineering, Vol. 36, Issue 11, (November 1997). https://doi.org/10.1117/1.601551

A two-layer neural network architecture for carrying out optodigital classification operations is proposed. The optical neural network implementation is suitable for pattern recognition and classification into digital format. The neural network is based on an optical correlator, an optoelectronic threshold, and an optodigital encoder. The module needs only one laser light source, and the light propagation from the input to the output is uninterrupted. The output is the class of the input pattern encoded in a digital format. Experimental results using different images and classes are presented. The classification can be changed arbitrarily by changing the encoding mask.

Citation Download Citation

Alain Bergeron, Henri H. Arsenault, Michel Doucet, Luc Veilleux, and Denis J. Gingras "Optodigital neural network classifier," Optical Engineering 36(11), (1 November 1997). https://doi.org/10.1117/1.601551

Published: 1 November 1997

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available