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A minimum average correlation energy (MACE) filter is applied to rotation invariant color pattern recognition. We present a method for calculating the circular harmonic component MACE filter for an arbitrary order. This filter has the advantage of being useful for several color channels simultaneously, avoiding the preparation of several filters, one for each channel. The correlations obtained for every different channel are combined by arithmetic operations, producing only one output plane. Both, computer simulations and optical experiments are presented proving the discrimination abilities for this implementation.
Javier Garcia
"Rotation invariant color pattern recognition using a circular harmonic minimum average correlation energy filter", Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 19834E (26 July 1993); https://doi.org/10.1117/12.2308577
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Javier Garcia, "Rotation invariant color pattern recognition using a circular harmonic minimum average correlation energy filter," Proc. SPIE 1983, 16th Congress of the International Commission for Optics: Optics as a Key to High Technology, 19834E (26 July 1993); https://doi.org/10.1117/12.2308577