Tongue coating image retrieval

Bo Huang, Dapeng Zhang, Yanlai Li, Hongzhi Zhang, Naimin Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


Along with the rapid growth of medical data, image retrieval, a kind of technology for browsing, searching and retrieving similar images of the given image, has become increasingly important from a large database of digital images. Tongue coating is the most important characteristic to reveal the pathological changes of the tongues for identifying diseases. In this paper, an efficient and effective technique is proposed to retrieve coating images. We obtain the pixel template value of pixels by applying thresholding segmentation based relative entropy. Then we use a Reduced K Nearest Neighbor algorithm to extract 20-dimension feature vector based on a prior layout distribution. Finally, a distance based the cumulative ratio is proposed for tongue coating image matching. The experimental results indicate that the proposed scheme eliminates the imprecision and uncertainty associated with medical tongue coating analysis.
Original languageEnglish
Title of host publication2011 3rd International Conference on Advanced Computer Control, ICACC 2011
Number of pages5
Publication statusPublished - 4 Oct 2011
Event3rd IEEE International Conference on Advanced Computer Control, ICACC 2011 - Harbin, China
Duration: 18 Jan 201120 Jan 2011


Conference3rd IEEE International Conference on Advanced Computer Control, ICACC 2011


  • Computerized tongue diagnosis
  • image retrieval
  • tongue coating

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering


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