Multicriteria optimization approach for optical pattern recognition with nonoverlapping target and scene noise

Vitaly Kober; Yeong Kyeong Seong; Tae-Sun Choi

doi:10.1117/12.326772

9 October 1998 Multicriteria optimization approach for optical pattern recognition with nonoverlapping target and scene noise

Vitaly Kober, Yeong Kyeong Seong, Tae-Sun Choi

Author Affiliations +

Proceedings Volume 3466, Algorithms, Devices, and Systems for Optical Information Processing II; (1998) https://doi.org/10.1117/12.326772
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

The design of filters for pattern recognition that have optimal trade-offs among the criteria of noise robustness, sharpness of the correlation peak, and Horner efficiency when input scene noise is spatially disjoint (nonoverlapping) with the target are presented. Computer simulation is made to illustrate filter performances for optical pattern recognition.

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Vitaly Kober, Yeong Kyeong Seong, and Tae-Sun Choi "Multicriteria optimization approach for optical pattern recognition with nonoverlapping target and scene noise", Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); https://doi.org/10.1117/12.326772

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