Color component transformations for optical pattern recognition

V. Kober, V. Lashin, I. Moreno, J. Campos, M. J. Yzuel, L. P. Yaroslavsky

Research output: Contribution to journalArticleResearchpeer-review

17 Citations (Scopus)

Abstract

Several elementwise component transformations performed over primary color image components (RGB) before optical multichannel correlations are proposed to improve real-time multispectral pattern recognition. The first transformation is deduced from the theory of the optimal filter for object location and recognition extended to multispectral images. Several modifications of this transformation are studied. We investigate these transformations in terms of noise robustness and discrimination capability. Computer simulation with noisy input images for various kinds of correlation filter are presented to illustrate improvement of color pattern recognition by using the proposed transformations. Experimental results are also presented. © 1997 Optical Society of America.
Original languageEnglish
Pages (from-to)2656-2669
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume14
Issue number10
DOIs
Publication statusPublished - 1 Jan 1997

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