Input-image homogenization as a method to improve a correlator's discrimination capability

Leonid P. Yaroslavsky; Octavio López-Coronado; Juan Campos

doi:https://doi.org/10.1364/OL.23.001129

Input-image homogenization as a method to improve a correlator's discrimination capability

Leonid P. Yaroslavsky, Octavio López-Coronado, Juan Campos

Department of Physics

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

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Abstract

We propose an input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process. This method is an approximation of the optimal filter. It offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators. © 1998 Optical Society of America.

Original language	English
Pages (from-to)	1129-1131
Journal	Optics Letters
Volume	23
DOIs	https://doi.org/10.1364/OL.23.001129
Publication status	Published - 15 Jul 1998

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title = "Input-image homogenization as a method to improve a correlator's discrimination capability",

abstract = "We propose an input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process. This method is an approximation of the optimal filter. It offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators. {\textcopyright} 1998 Optical Society of America.",

author = "Yaroslavsky, {Leonid P.} and Octavio L{\'o}pez-Coronado and Juan Campos",

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T1 - Input-image homogenization as a method to improve a correlator's discrimination capability

AU - Yaroslavsky, Leonid P.

AU - López-Coronado, Octavio

AU - Campos, Juan

PY - 1998/7/15

Y1 - 1998/7/15

N2 - We propose an input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process. This method is an approximation of the optimal filter. It offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators. © 1998 Optical Society of America.

AB - We propose an input-image preprocessing method consisting of homogenization of the image to improve the discrimination capability of a correlation-based recognition process. This method is an approximation of the optimal filter. It offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators. © 1998 Optical Society of America.

U2 - https://doi.org/10.1364/OL.23.001129

DO - https://doi.org/10.1364/OL.23.001129

M3 - Article

VL - 23

SP - 1129

EP - 1131

JO - Optics Letters

JF - Optics Letters

SN - 0146-9592

ER -

Input-image homogenization as a method to improve a correlator's discrimination capability

Abstract

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