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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorGetbehead, Mark A.
dc.date.accessioned2017-10-06T18:17:18Z
dc.date.available2017-10-06T18:17:18Z
dc.date.issued1998-04-01
dc.identifier.citationKozaitis, S. P., & Getbehead, M. A. (1998). Multiple-input joint transform correlator for wavelet feature extraction. Optical Engineering, 37(4), 1325-1331en_US
dc.identifier.urihttp://hdl.handle.net/11141/1840
dc.descriptionCorrelator, Feature extraction, Joint transform correlator, Optical pattern recognition, Wavelet transformen_US
dc.description.abstractWe describe a joint transform correlator (JTC) that uses multiple input images encoded in the spatial domain for multiwavelet feature extraction. We extend the theory of a JTC to multiple inputs, which enables various combinations of cross-correlations between input images to be performed. Furthermore, we provide experimental results for four inputs with an optically addressed spatial light modulator in the Fourier plane. In addition, it is possible that the space-bandwidth product for multiwavelet feature extraction can be made the same as for a two-input JTC. © 1998 Society of Photo-Optical Instrumentation Engineers.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law. © 2016, SPIE. All rights reserved.en_US
dc.rights.urihttps://www.spiedigitallibrary.org/journals/optical-engineering/author-guidelinesen_US
dc.titleMultiple-input joint transform correlator for wavelet feature extractionen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.602036


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