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Proceedings Paper

Correlator pre- and post-processing for object identification
Author(s): Patrick C. Coffield
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Paper Abstract

Electro-optical processors that employ cross-correlation or matched filter methods represent very efficient mechanisms that can be used for imaging sensor object identification. Such mechanisms are commonly referred to as optical correlators. Digital pre- and post-correlation processing steps are necessary to make the correlation operation robust. The pre-processing step conditions or filters the input image to create the most optimal image presentation for the correlation function. The post-processing step is typically a threshold operation on the cross-correlation of the matched filter with the optimal image presentation. The last action of the post-process is to determine whether to accept the threshold crossing as a match (identification) or dismiss the current matched filter and process any subsequent filers. A typical goal for the military application of the optical correlator is to maintain a high image frame rate of operation while maintaining an even higher matched filter selection rate. The goal is limited by the speed of the digital hardware and input/output bandwidth used in the pre- and post-processing. This paper addresses a novel methodology for using the correlator hardware with on- focal-plane array processing to maximize system throughput. The concept is described using the Image Algebra developed by Ritter, et al.

Paper Details

Date Published: 31 March 2000
PDF: 12 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381616
Show Author Affiliations
Patrick C. Coffield, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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