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