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

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1129-1131
Number of pages3
JournalOptics Letters
Volume23
Issue number14
DOIs
StatePublished - 15 Jul 1998

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