Color classification of corn germplasm using computer vision
Date
1992-11-15
Authors
Panigrahi, Suranjan
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
A color classification program was developed for classifying the corn germplasm into seven different color groups based on kernel colors. This heuristic based rule supervised color classification program has an overall accuracy of 99%.
Series Number
Journal Issue
Is Version Of
Versions
Series
Academic or Administrative Unit
Type
article
Comments
This paper was published in Proc. SPIE 1836, Optics in Agriculture and Forestry, 78 (May 12, 1993), doi:10.1117/12.144046.
Rights Statement
Copyright
Fri Jan 01 00:00:00 UTC 1993