Classification of cereal grains using machine vision
Digital image analysis (DIA) algorithms were developed to facilitate classification of bulk samples of Canada Western Red Spring (CWRS) wheat, Canada Westem Amber Durum (CWAD) wheat, barley, oats, and rye using textural and color features of the grains. To classify individual kernels of CWRS wheat,...
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| Language: | en_US |
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2007
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| Online Access: | http://hdl.handle.net/1993/846 |