Optimization of the polychromatic discrimination capability in multichannel pattern recognition

Abdelaziz Attaleb; Esmail Ahouzi; Juan Campos; Ignacio Soriano Moreno; Maria Josefa Yzuel

doi:10.1117/1.1517576

1 December 2002 Optimization of the polychromatic discrimination capability in multichannel pattern recognition

Abdelaziz Attaleb, Esmail Ahouzi, Juan Campos, Ignacio Soriano Moreno, Maria Josefa Yzuel

Author Affiliations +

Optical Engineering, Vol. 41, Issue 12, (December 2002). https://doi.org/10.1117/1.1517576

We present the improvement of color pattern recognition by the optimization of a new parameter, the polychromatic discrimination capability. We use the polychromatic correlation obtained as the addition of the three correlation intensities obtained with the RGB components of the input color scene and the corresponding components of the color target. The polychromatic discrimination capability is defined in this fused correlation plane. We propose a method to optimize this performance parameter, which represents a global criterion for the optimization of the polychromatic correlation. The approach involves the design of regions of support to be used with the matched phase-only filters to optimize the polychromatic discrimination. We present simulation results illustrating the improvements obtained after the optimization process. We also include experimental results obtained with an optical real-time correlator that uses two spatial light modulators. Experimental data confirm the numerical results and show the capacity of the proposed technique to improve color pattern recognition.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Abdelaziz Attaleb, Esmail Ahouzi, Juan Campos, Ignacio Soriano Moreno, and Maria Josefa Yzuel "Optimization of the polychromatic discrimination capability in multichannel pattern recognition," Optical Engineering 41(12), (1 December 2002). https://doi.org/10.1117/1.1517576

Published: 1 December 2002

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE