Optical codification for multiclass pattern recognition using a parallel correlator

A. Vargas; J. Campos; C. Iemmi; S. Ledesma; M. J. Yzuel

doi:10.1016/S0030-4018(99)00057-7

Optical codification for multiclass pattern recognition using a parallel correlator

A. Vargas, J. Campos, C. Iemmi, S. Ledesma, M. J. Yzuel

Department of Physics

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

1 Citation (Scopus)

Abstract

In this paper we present the implementation of an optical codification method by using a multichannel correlator. The parallel architecture of the system is based on the different diffracted orders produced by the pixelated structure inherent to the spatial light modulator used to display the input scene. The codification of six classes of objects is carried out by using three channels to process the signal simultaneously. A comparison between the experimental results and the numerically simulated ones is presented.

Original language	English
Pages (from-to)	121-129
Journal	Optics Communications
Volume	162
Issue number	1
DOIs	https://doi.org/10.1016/S0030-4018(99)00057-7
Publication status	Published - 1 Apr 1999

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abstract = "In this paper we present the implementation of an optical codification method by using a multichannel correlator. The parallel architecture of the system is based on the different diffracted orders produced by the pixelated structure inherent to the spatial light modulator used to display the input scene. The codification of six classes of objects is carried out by using three channels to process the signal simultaneously. A comparison between the experimental results and the numerically simulated ones is presented.",

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AB - In this paper we present the implementation of an optical codification method by using a multichannel correlator. The parallel architecture of the system is based on the different diffracted orders produced by the pixelated structure inherent to the spatial light modulator used to display the input scene. The codification of six classes of objects is carried out by using three channels to process the signal simultaneously. A comparison between the experimental results and the numerically simulated ones is presented.

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