Optical pattern recognition using a synthetic discriminant amplitude-compensated matched filter

Zhao-Qi Wang; W. Allan Gillespie; Colin M. Cartwright; C. Soutar

doi:10.1364/AO.32.000184

Optical pattern recognition using a synthetic discriminant amplitude-compensated matched filter

Zhao-Qi Wang, W. Allan Gillespie, Colin M. Cartwright, C. Soutar

Abertay University

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

A technique for optical pattern recognition using an amplitude-compensated matched filter is presented. With the synthetic discriminant function in a matched spatial filtering application an iterative technique is employed to first obtain the synthetic discriminant functions for the phase-only matched filter and then is extended to the amplitude-compensated matched filter. Computer simulation shows that the suggested spatial filter has a high signal-to-noise ratio and good Horner efficiency, and it is more sensitive to changes in the input image.

Original language	English
Pages (from-to)	184-189
Number of pages	6
Journal	Applied Optics
Volume	32
Issue number	2
DOIs	https://doi.org/10.1364/AO.32.000184
Publication status	Published - 10 Jan 1993

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title = "Optical pattern recognition using a synthetic discriminant amplitude-compensated matched filter",

abstract = "A technique for optical pattern recognition using an amplitude-compensated matched filter is presented. With the synthetic discriminant function in a matched spatial filtering application an iterative technique is employed to first obtain the synthetic discriminant functions for the phase-only matched filter and then is extended to the amplitude-compensated matched filter. Computer simulation shows that the suggested spatial filter has a high signal-to-noise ratio and good Horner efficiency, and it is more sensitive to changes in the input image.",

author = "Zhao-Qi Wang and Gillespie, {W. Allan} and Cartwright, {Colin M.} and C. Soutar",

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AB - A technique for optical pattern recognition using an amplitude-compensated matched filter is presented. With the synthetic discriminant function in a matched spatial filtering application an iterative technique is employed to first obtain the synthetic discriminant functions for the phase-only matched filter and then is extended to the amplitude-compensated matched filter. Computer simulation shows that the suggested spatial filter has a high signal-to-noise ratio and good Horner efficiency, and it is more sensitive to changes in the input image.

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