1 May 2000 Circular optimal trade-off and distance-classifier correlation filters
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Optical Engineering, 39(5), (2000). doi:10.1117/1.602480
Abstract
We use circular versions of advanced distortion-invariant filters such as optimal trade-off synthetic discriminant function and distance classifier correlation filters to obtain rotation invariance with an optical correlator. The filter noise performance is compared using a common measure of probability of error because the filters have different characteristics. The filters are real-valued so they can be implemented on a variety of SLMs. The circular symmetry of the filters significantly decreases their computational requirement.
Samuel Peter Kozaitis, Sila Thangwaritorn, "Circular optimal trade-off and distance-classifier correlation filters," Optical Engineering 39(5), (1 May 2000). https://doi.org/10.1117/1.602480
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