Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22987
Title: Computerized diagnosis from tongue appearance using quantitative feature classification
Authors: Zhang, D 
Pang, B
Li, N
Wang, K
Zhang, H
Keywords: Diagnosis from tongue appearance
Quantitative tongue features
Tongue image classification
Issue Date: 2005
Publisher: World Scientific
Source: American journal of Chinese medicine, 2005, v. 33, no. 6, p. 859-866 How to cite?
Journal: American journal of Chinese medicine 
Abstract: This study investigates relationships between diseases and the appearance of the human tongue in terms of quantitative features. The experimental samples are digital tongue images captured from three groups of candidates: one group in normal health, one suffering with appendicitis, and a third suffering with pancreatitis. For the purposes of diagnostic classification, we first extract chromatic and textural measurements from original tongue images. A feature selection procedure then identifies the measures most relevant to the classifications, based on which of the three tongue image categories are clearly separated. This study validates the use of tongue inspection by means of quantitative feature classification in medical diagnosis.
URI: http://hdl.handle.net/10397/22987
ISSN: 0192-415X
EISSN: 1793-6853
DOI: 10.1142/S0192415X05003466
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