Computerized diagnosis from tongue appearance using quantitative feature classification

Dapeng Zhang, Bo Pang, Naimin Li, Kuanquan Wang, Hongzhi Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)859-866
Number of pages8
JournalAmerican Journal of Chinese Medicine
Issue number6
Publication statusPublished - 1 Dec 2005


  • Diagnosis from tongue appearance
  • Quantitative tongue features
  • Tongue image classification

ASJC Scopus subject areas

  • Complementary and alternative medicine

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