Multispectral image feature extraction by the joint wavelet-transform correlator

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

doi:10.1117/12.270379

27 March 1997 Multispectral image feature extraction by the joint wavelet-transform correlator

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

Author Affiliations +

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270379
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

A multispectral version of an image consisting of multiple wavelet components allows for more flexible feature extraction when compared to the use of one wavelet component. We showed how a multiple-input joint wavelet- transform correlator could be used for multispectral analysis of an input image. 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 4m-1 correlation results, one of which is the desired output. The space-bandwidth product of the system is the same as for a conventional tow-input joint-transform correlator.

Citation Download Citation

Samuel Peter Kozaitis, Samuel Peter Kozaitis, Mark A. Getbehead, Mark A. Getbehead, Wesley E. Foor, Wesley E. Foor, "Multispectral image feature extraction by the joint wavelet-transform correlator", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270379; https://doi.org/10.1117/12.270379

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