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 :
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