Toward Automated Quality Classification via Statistical Modeling of Grain Images for Rice Processing Monitoring
Computer vision-based rice quality inspection has recently attracted increasing interest in both academic and industrial communities because it is a low-cost tool for fast, non-contact, nondestructive, accurate and objective process monitoring. However, current computer-vision system is far from eff...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2016-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868684/view |