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Likelihood based Wavelength Selection for Sorting Metals by Laser-induced Breakdown Spectroscopy

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Abstract

Likelihood based wavelength selection is proposed for efficient classification of metals by laser-induced breakdown spectroscopy. Copper alloys are evaluated with the 10 selected points from 12,288 and classified much faster with fewer errors.

© 2016 Optical Society of America

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