DocumentCode
1585948
Title
An automatic classification method for betel nut based on computer vision
Author
Liu, Tong ; Xie, Jianbin ; He, Yizheng ; Xu, Ming ; Qin, Chengang
Author_Institution
Nat. Univ. of Defense Technol., Changsha, China
fYear
2009
Firstpage
1264
Lastpage
1267
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.
Keywords
computer vision; feature extraction; image classification; image texture; real-time systems; automatic classification method; betel nuts misclassification; color feature extraction; computer vision; real-time classification; shape feature extraction; texture feature extraction; Artificial neural networks; Chemical industry; Color; Computer vision; Fires; Food industry; Helium; Image processing; Production; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-4774-9
Electronic_ISBN
978-1-4244-4775-6
Type
conf
DOI
10.1109/ROBIO.2009.5420823
Filename
5420823
Link To Document