Optical Pattern Recognition Using Average Filters To Produce Discriminant Hypersurfaces

Charles F. Hester; David Casasent

doi:10.1117/12.965613

4 December 1979 Optical Pattern Recognition Using Average Filters To Produce Discriminant Hypersurfaces

Charles F. Hester, David Casasent

Proceedings Volume 0201, Optical Pattern Recognition; (1979) https://doi.org/10.1117/12.965613
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

Abstract

A hyperspace description of the multiclass (multiobject) pattern recognition problem is advanced. Average filters composed of linear sums of orthonormal basis functions are found to provide the necessary discriminant hypersurfaces. Optical correlation using weighted matched spatial filter synthesis is used to determine the basis functions and their linear weights. The average filters are then assembled on a digital computer and used in an optical frequency plane correlator. Initial problem formulation theory and simulation results are included for an infrared tank pattern recognition problem.

Citation Download Citation

Charles F. Hester and David Casasent "Optical Pattern Recognition Using Average Filters To Produce Discriminant Hypersurfaces", Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); https://doi.org/10.1117/12.965613

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