Hybrid system using optical image compression and a neural system for parallel classification of images

Philippe Gagne; Henri H. Arsenault

doi:10.1117/12.241997

7 June 1996 Hybrid system using optical image compression and a neural system for parallel classification of images

Philippe Gagne, Henri H. Arsenault

Proceedings Volume 2751, Hybrid Image and Signal Processing V; (1996) https://doi.org/10.1117/12.241997
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

We introduce an optical classification method that allows the simultaneous comparison of an input object with multiple stored objects. The stored objects are compressed into one- dimensional vectors by means of an optical integrating ring detector that focuses the incident energy incident upon each ring to a point. The neural weights corresponding to the vectors are orthogonalized by means of a delta rule algorithm, and the classification site is carried out with the help of a joint transform correlator.

Citation Download Citation

Philippe Gagne and Henri H. Arsenault "Hybrid system using optical image compression and a neural system for parallel classification of images", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); https://doi.org/10.1117/12.241997

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