Share Email Print
cover

Proceedings Paper

Multicriteria optimization approach for optical pattern recognition with nonoverlapping target and scene noise
Author(s): Vitaly Kober; Yeong Kyeong Seong; Tae-Sun Choi
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 9 October 1998
PDF: 4 pages
Proc. SPIE 3466, Algorithms, Devices, and Systems for Optical Information Processing II, (9 October 1998); doi: 10.1117/12.326772
Show Author Affiliations
Vitaly Kober, Kwangju Institute of Science and Technology (United States)
Yeong Kyeong Seong, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3466:
Algorithms, Devices, and Systems for Optical Information Processing II
Bahram Javidi; Demetri Psaltis, Editor(s)

© SPIE. Terms of Use
Back to Top