Joint-transform correlator architecture for wavelet feature extraction

Samuel Peter Kozaitis; Mark A. Getbehead; Wesley E. Foor

doi:10.1117/12.277625

1 July 1997 Joint-transform correlator architecture for wavelet feature extraction

Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor

Proceedings Volume 3075, Photonic Processing Technology and Applications; (1997) https://doi.org/10.1117/12.277625
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Samuel Peter Kozaitis, Mark A. Getbehead, and Wesley E. Foor "Joint-transform correlator architecture for wavelet feature extraction", Proc. SPIE 3075, Photonic Processing Technology and Applications, (1 July 1997); https://doi.org/10.1117/12.277625

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