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Tongue Color Analysis for Medical Application
Joint Authors
Wang, Xingzheng
You, Jane
Zhang, Bob
Zhang, David
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An in-depth systematic tongue color analysis system for medical applications is proposed.
Using the tongue color gamut, tongue foreground pixels are first extracted and assigned to one of 12 colors representing this gamut.
The ratio of each color for the entire image is calculated and forms a tongue color feature vector.
Experimenting on a large dataset consisting of 143 Healthy and 902 Disease (13 groups of more than 10 samples and one miscellaneous group), a given tongue sample can be classified into one of these two classes with an average accuracy of 91.99%.
Further testing showed that Disease samples can be split into three clusters, and within each cluster most if not all the illnesses are distinguished from one another.
In total 11 illnesses have a classification rate greater than 70%.
This demonstrates a relationship between the state of the human body and its tongue color.
American Psychological Association (APA)
Zhang, Bob& Wang, Xingzheng& You, Jane& Zhang, David. 2013. Tongue Color Analysis for Medical Application. Evidence-Based Complementary and Alternative Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-458670
Modern Language Association (MLA)
Zhang, Bob…[et al.]. Tongue Color Analysis for Medical Application. Evidence-Based Complementary and Alternative Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-458670
American Medical Association (AMA)
Zhang, Bob& Wang, Xingzheng& You, Jane& Zhang, David. Tongue Color Analysis for Medical Application. Evidence-Based Complementary and Alternative Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-458670
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458670