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A method for discrimination of processed ginger based on image color feature and a support vector machine model

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WOS被引频次:2
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成果类型:
期刊论文
作者:
Zhou, Sujuan;Meng, Jiang;Huang, Zhanpeng;Jiang, Shizhong;Tu, Yongqiu
通讯作者:
Zhou, SJ;Meng, J
作者机构:
[Tu, Yongqiu; Zhou, Sujuan; Huang, Zhanpeng; Jiang, Shizhong] College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China
[Meng, Jiang] College of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
通讯机构:
[Meng, Jiang] Guangdong Pharmaceut Univ, Coll Tradit Chinese Med, Guangzhou 510006, Guangdong, Peoples R China.
[Zhou, Sujuan] Guangdong Pharmaceut Univ, Coll Med Informat Engn, Guangzhou 510006, Guangdong, Peoples R China.
语种:
英文
关键词:
Accuracy rate - Chinese herbal medicines - HSV colour space - Image color - Machine learning technology - Numerical variables - Support vector machine models - True colors
期刊:
ANALYTICAL METHODS
ISSN:
1759-9660
年:
2016
卷:
8
期:
10
页码:
2201-2206
文献类别:
WOS:Article;EI:Journal article (JA)
所属学科:
ESI学科类别:化学;WOS学科类别:Chemistry, Analytical;Food Science & Technology;Spectroscopy
入藏号:
WOS:000371617000010;EI:20161102091523
基金类别:
Project of the National Natural Science Foundation of China [81102809]
机构署名:
本校为第一且通讯机构
院系归属:
中药学院
医药信息工程学院
摘要:
The discrimination of Chinese herbal medicine uses many appearance properties. Of which, color is one of the most important attributes. However, color descriptions in pharmacopoeia can be vague. It's difficult to unify cognition by artificial and subjective discrimination methods. In this regard, digital image processing and machine learning technology were introduced to help solve these problems. By extracting numerical variables of quantified color from images of processed ginger, experiments demonstrated that the HSV colour space was consistent with the true color and could effectively discriminate three processed ginger. After describing colors in terms of HSV, a support vector machine (SVM) model for discrimination of the processed ginger was constructed. An accuracy rate of 98.0277% was acquired to identify the unknown samples. Therefore, the proposed discrimination method based on the image color feature and SVM model is very able to quantify the color of processed ginger, and to evaluate the quality of appearance characters of Chinese herbal components objectively. ©The Royal Society of Chemistry 2016.
参考文献:
Altena R. V., 2011, CURR PHARM DESIGN, V17, P2853
Apetrei C, 2010, ANAL CHIM ACTA, V663, P91, DOI 10.1016/j.aca.2010.01.034
Bai XF, 2014, NEUROCOMPUTING, V136, P243, DOI 10.1016/j.neucom.2014.01.008
Bezdek J. C., 1981, PATTERN RECOGNITIONW
Cawley G. C., 2006, INT JOINT C NEUR NET

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