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Proceedings Paper

Optical pattern recognition with nonlinearly transformed matched filters
Author(s): Bahram Javidi; Guanshen Zhang
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Paper Abstract

Nonlinearly transformed matched filters including the kth law nonlinear filters for optical correlation are reviewed. The interesting property of the kth law nonlinear filters is that the nonlinear transformation modifies the amplitude of the conventional matched filter by a power of k. Various types of filters may be produced by varying the severity of the nonlinearity. Correlation results for the images tested indicate that nonlinear matched filters produce good correlation performance in the terms of correlation peak intensity, signal-to-noise ratio, and peak-to-sidelobe ratio. The sensitivity of the kth law nonlinearly transformed filter to rotational changes of the input signal is investigated. The rotational sensitivity of the kth law nonlinearly transformed filter increases for higher degrees of nonlinearity. However, for a given input signal rotation, a highly kth law nonlinearly transformed filter could produce a better peak-to-sidelobe ratio and better SNR compared with a moderately kth law nonlinearly transformed filter and/or a conventional matched filter.

Paper Details

Date Published: 1 April 1992
PDF: 13 pages
Proc. SPIE 10262, Optical Pattern Recognition: A Critical Review, 102620F (1 April 1992); doi: 10.1117/12.59859
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Guanshen Zhang, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 10262:
Optical Pattern Recognition: A Critical Review
Joseph L. Horner; Bahram Javidi, Editor(s)

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