SVR based color calibration for tongue image

Hong Zhi Zhang, Kuan Quan Wang, Xue Song Jin, Dapeng Zhang

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

36 Citations (Scopus)


Tongue color is one of the most important pathological features for Computer Aided Tongue Diagnosis System (CATDS). Color distortion of tongue image, which is often caused by the inconstancy of lighting conditions, can seriously affect the validity of diagnosis results obtained by CATDS and furthermore, impair the interchangeability among tongue images captured by different devices. To circumvent the above problems, we present a novel color calibration model based on Support Vector Regression (SVR) method in this paper. First, a new colorchecker which provides a suitable reference for the following color calibration is produced by color clustering of 322 tongue images. Then, a comparative analysis between the SVR based color calibration method and Polynomial Regression based one is carried out. Results indicate that SVR based color calibration model, cooperating with the proposed colorchecker, provides an outstanding calibration effect and plays an important part in the image acquisition of CATDS.
Original languageEnglish
Title of host publication2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Number of pages6
Publication statusPublished - 12 Dec 2005
EventInternational Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005


ConferenceInternational Conference on Machine Learning and Cybernetics, ICMLC 2005


  • Color calibration
  • Polynomial regress
  • SVR
  • Tongue diagnosis

ASJC Scopus subject areas

  • Engineering(all)

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