Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16607
Title: Tongue color analysis for medical application
Authors: Zhang, B 
Wang, X 
You, J 
Zhang, D 
Issue Date: 2013
Publisher: Hindawi Publishing Corporation
Source: Evidence-based complementary and alternative medicine, 2013, v. 2013, 264742 How to cite?
Journal: Evidence-based complementary and alternative medicine 
Abstract: 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.
URI: http://hdl.handle.net/10397/16607
ISSN: 1741-427X
EISSN: 1741-4288
DOI: 10.1155/2013/264742
Rights: Copyright © 2013 Bob Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following article: Bob Zhang, Xingzheng Wang, Jane You, and David Zhang, “Tongue Color Analysis for Medical Application,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 264742, 11 pages, 2013, is available at https://doi.org/10.1155/2013/264742
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