Identification of Green, Oolong and Black Teas in China via Wavelet Packet Entropy and Fuzzy Support Vector Machine

Identification of Green, Oolong and Black Teas in China via Wavelet Packet Entropy and Fuzzy Support Vector Machine

To develop an automatic tea-category identification system with a high recall rate, we proposed a computer-vision and machine-learning based system, which did not require expensive signal acquiring devices and time-consuming procedures. We captured 300 tea images using a 3-CCD digital camera, and th...

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Bibliographic Details
Main Authors: Shuihua Wang, Xiaojun Yang, Yudong Zhang, Preetha Phillips, Jianfei Yang, Ti-Fei Yuan
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Entropy
Subjects:
tea identification
wavelet packet entropy
Shannon entropy
wavelet analysis
support vector machine (SVM)
fuzzy SVM
information theory
Online Access:http://www.mdpi.com/1099-4300/17/10/6663

Internet

http://www.mdpi.com/1099-4300/17/10/6663

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