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

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

doi: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

Departamento de Física

Producción científica: Contribución a una revista › Artículo › Investigación › revisión exhaustiva

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Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	1129-1131
Publicación	Optics Letters
Volumen	23
DOI	https://doi.org/10.1364/OL.23.001129
Estado	Publicada - 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",

year = "1998",

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journal = "Optics Letters",

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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.

UR - https://www.scopus.com/pages/publications/11644328847

U2 - 10.1364/OL.23.001129

DO - 10.1364/OL.23.001129

M3 - Article

SN - 0146-9592

VL - 23

SP - 1129

EP - 1131

JO - Optics Letters

JF - Optics Letters

ER -

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

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