Optimization of the polychromatic discrimination capability in multichannel pattern recognition

Abdelaziz Attaleb, Esmail Ahouzi, Juan Campos, Ignacio Moreno, María J. Yzuel

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)3250-3259
JournalOptical Engineering
Publication statusPublished - 1 Dec 2002


  • Color pattern recognition
  • Discrimination capability
  • Optical correlation
  • Phase-only filter
  • Polychromatic correlation
  • Region of support


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