Abstract
The experimental results from an acousto-optic image correlator are presented. The performance ofthis system, which is evaluated in terms of the peak-to-sidelobe ratio, is shown to be improved by subtracting off the signal-dependent bias terms. These bias terms can be optically generated using the same acousto-optic correlator. Structured background features in the input scene can also dramatically affect the correlation result. This paper suggests a novel implementation of the difference-squared error algorithm using a modified acousto-optic architecture that can discriminate better than conventional correlation in scenes with structured background features. Experimental results from real-time systems constructed in the laboratory are presented.
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