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6 March 2002 Different weighting approaches for performing heterogeneous correlation
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In this paper we introduce three weighting algorithms for performing shift-invariant heterogeneous phase-restricted correlation filters that are capable of identifying an object as belonging to a certain class while rejecting any object that is not a member of that class. We compare the performance of these highly discriminative filters to the performance of the phase-only filter, and the non- discriminative matched correlation filter, in similar circumstances. Even when the proposed filters achieved proper classification, the intensities of the correlation from heterogenous targets were much smaller than those from homogeneous targets. To increase the intensities of these hetero-correlation peaks relative to the autocorrelation peaks, we also introduced a fractional power law into the filter's transfer function, thereby controlling the rejection capability of the filter.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jehad Khoury, Peter D. Gianino, and Charles L. Woods "Different weighting approaches for performing heterogeneous correlation", Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002);

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