An automatic classification method for betel nut based on computer vision

Authors:
Tong Liu;Jianbin Xie;Yizheng He;Ming Xu;Chengang Qin
Affiliations:
National University of Defense Technology, Changsha, CO, China;National University of Defense Technology, Changsha, CO, China;China Aeronautical Radio Electronics Research Institute, ShangHai, China;China Aeronautical Radio Electronics Research Institute, ShangHai, China;National University of Defense Technology, Changsha, CO, China
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

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Abstract

In order to solve the problem of betel nuts' misclassification by manual ways, an automatic classification method based on computer vision is proposed in this paper. The new method achieves automatic classification by extracting color features, shape features and texture features of betel nuts. Experiments show that this method has good effect, high speed and can satisfy the real-time classification on production line.