Tongue image matching using color content

C. H. Li, Pong C. Yuen*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

71 Citations (Scopus)
10 Downloads (Pure)


This paper addresses the problem of color image matching in medical diagnosis. The color matching of tongue images in different color spaces with different metrics have been investigated and is reported in this article. Two new metrics namely, sorted metric and probabilistic combined metric, are proposed. Existing distance measurements in coordinate space do not satisfy the reflexivity axiom. That means, they are not the valid metrics. To overcome this limitation, the sorted metric in coordinate space is proposed in coordinate space. To improve the matching performance, a probabilistic combined metric is proposed based on the theory of combining classifier. These metrics are applied for the matching of tongue color images and the results are encouraging.

Original languageEnglish
Pages (from-to)407-419
Number of pages13
JournalPattern Recognition
Issue number2
Early online date26 Nov 2001
Publication statusPublished - Feb 2002

Scopus Subject Areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

User-Defined Keywords

  • Tongue diagnosis
  • Traditional Chinese medicine
  • Medical image matching
  • Color images


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