Optical Pattern Recognition Using Normalized Invariant Moments

David Casasent,; Demetri Psaltis

doi:10.1117/12.965618

4 December 1979 Optical Pattern Recognition Using Normalized Invariant Moments

David Casasent,, Demetri Psaltis

Proceedings Volume 0201, Optical Pattern Recognition; (1979) https://doi.org/10.1117/12.965618
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

A novel approach to coherent optical pattern recognition is described. It does not utilize matched spatial filters and optical correlation methods. Rather, a 2-dimensional input function is described in terms of its absolute normalized invariant moments. Comparison of these moments enables one to determine the presence of a given object independent of geometrical distortions. A parallel optical processor with a special mask is used to generate all moments for a 2-D scene in parallel. A simple digital post processor calculates the actual absolute normalized invariant moments with the high dynamic range necessary. Our initial work reported upon here has concentrated on: the optical generation of individual moments, how the individual moments vary, the dynamic range requirements of the system and how they may best be met in a hybrid optical digital topology,and methods to generate all moments optically in parallel.

Citation Download Citation

David Casasent, and Demetri Psaltis "Optical Pattern Recognition Using Normalized Invariant Moments", Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); https://doi.org/10.1117/12.965618

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