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Proceedings Paper

Multiresolution template matching using an optical correlator
Author(s): Samuel Peter Kozaitis; Zia Saquib; Rufus H. Cofer; Wesley E. Foor
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Paper Abstract

Infrared imagery of 512 x 512 pixels were processed with 128 x 128 arrays by computer simulation of an optical correlator using various correlation filters. Pyramidal processing using binary phase-only filters (BPOFs), synthetic discriminant function (SDF) filters, and feature-based filters was used to process an entire image in parallel at different resolutions. Results showed that both SDF and feature-based filters were more robust to the effects of thresholding input imagery than BPOFs. The feature-based filters offered a range of performance by setting a parameter to different values. As the value of the parameter was changed, correlation peaks within the training set became more consistent and broader. The feature-based filters were more useful than both the SDF and simple BPOFs for recognizing objects outside the training set. Furthermore, the feature-based filter was more easily calculated and trained than an SDF filter.

Paper Details

Date Published: 1 July 1992
PDF: 10 pages
Proc. SPIE 1702, Hybrid Image and Signal Processing III, (1 July 1992); doi: 10.1117/12.60555
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Zia Saquib, Florida Institute of Technology (United States)
Rufus H. Cofer, Florida Institute of Technology (United States)
Wesley E. Foor, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 1702:
Hybrid Image and Signal Processing III
David P. Casasent; Andrew G. Tescher, Editor(s)

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