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7 May 2007 Improved forward floating selection algorithm for chicken contaminant detection in hyperspectral imagery
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Abstract
Reduction of the potential health risks to consumers caused by food-borne infections is a very important food safety issue of public concern; one of the leading causes of food-borne illnesses is fecal contamination. We consider detecting fecal contaminants on chicken carcasses using hyperspectral imagery. We introduce our new improved floating forward selection (IFFS) algorithm for feature selection of the wavebands to use in hyperspectral data for classification. Our IFFS algorithm is an improvement on the state-of-the-art sequential floating forward selection (SFFS) algorithm. Our initial results indicate that our method gives an excellent detection rate and performs better than other quasi-optimal feature selection algorithms.
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Songyot Nakariyakul and David P. Casasent "Improved forward floating selection algorithm for chicken contaminant detection in hyperspectral imagery", Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65651X (7 May 2007); https://doi.org/10.1117/12.718162
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