Share Email Print
cover

Proceedings Paper

Joint-transform correlator architecture for wavelet feature extraction
Author(s): Samuel Peter Kozaitis; Mark A. Getbehead; Wesley E. Foor
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A version of an image consisting of multiple wavelet scales allows for more flexible feature extraction when compared to the use of one wavelet scale. We proposed an imaging system based on a multiple-input joint-transform correlator, that could be used for multiple wavelet-scale analysis of an input image. Given a single input image and wavelet, for m wavelet scales, m versions of the wavelet and m copies of the input image were generated using conventional optics that are used as inputs to a joint wavelet-transform correlator. The output consisted of 4 m - 1 correlation results, one of which is the desired output. The space-bandwidth product of the system is the same as for a conventional two-input joint-transform correlator.

Paper Details

Date Published: 1 July 1997
PDF: 11 pages
Proc. SPIE 3075, Photonic Processing Technology and Applications, (1 July 1997); doi: 10.1117/12.277625
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Mark A. Getbehead, Rome Lab. (United States)
Wesley E. Foor, Rome Lab. (United States)


Published in SPIE Proceedings Vol. 3075:
Photonic Processing Technology and Applications
Andrew R. Pirich; Raymond K. Boncek, Editor(s)

© SPIE. Terms of Use
Back to Top