Date of Award
12-1-2011
Degree Name
Master of Science
Department
Electrical and Computer Engineering
First Advisor
Chen, Ying
Abstract
The official U.S. standards for corn have been available for almost one hundred years. Corn grading system has been gradually updated over the years. In this thesis, we investigated a fast corn grading system, which includes the mechanical part and the computer recognition part. The mechanical system can deliver the corn kernels onto the display plate. For the computer recognition algorithms, we extracted common features from each corn kernel, and classified them to measure the grain quality.
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