Hybrid Optical-Digital Image Processing System For Pattern Recognition

F. Merkle; T. Lorch; T. Karte; J. Donandt

doi:10.1117/12.934407

16 June 1983 Hybrid Optical-Digital Image Processing System For Pattern Recognition

F. Merkle, T. Lorch, T. Karte, J. Donandt

Proceedings Volume 0369, Max Born Centenary Conf; (1983) https://doi.org/10.1117/12.934407
Event: The Max Born Centenary Conference, 1982, Edinburgh, United Kingdom

Abstract

The coherent optical filtering techniques provide a general concept for the classification of patterns. This paper describes the design and testing of a hybrid optical-digital image processing system and the development of methods for a statistical expansion of the correlation signal shape because a simple correlation signal intensity measurement is in most of the applications insufficient. Six different algorithms for correlation signal evaluation are investigated. A feature reduction is achieved by a multivariate analysis. For alpha-numeric patterns modified by binary random noise, rotation, scaling and shearing high classification results have been obtained.

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F. Merkle, T. Lorch, T. Karte, and J. Donandt "Hybrid Optical-Digital Image Processing System For Pattern Recognition", Proc. SPIE 0369, Max Born Centenary Conf, (16 June 1983); https://doi.org/10.1117/12.934407

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