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Pixel Based Tongue Color Analysis

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Medical Biometrics (ICMB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4901))

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Abstract

Tongue diagnosis is a distinctive and essential diagnostic measure in Traditional Chinese Medicine (TCM), and chromatic information is its most decisive characteristic which is utilized to unearth pathological changes for identifying diseases. In this paper, a computerized medical biometrics scheme is established which classify all pixels in tongue into various color classes. For train specimens, both a forward and a backward selection are employed to pick up the correct labeled pixel specimens and screen out the wrong, and then various pixels of diversified colors are classified for the tongue color analysis. The experimental outcomes are more applicable to tongue color analysis.

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References

  1. Pang, B., Zhang, D., Li, N., Wang, K.: Computerized Tongue diagnosis Based on Bayesian Networks. IEEE Tran. On Biomedical Engineering 10(51), 1803–1810 (2004)

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  5. Wang, Y.G., Yang, J., et al.: Region partition and feature matching based color recognition of tongue image. Pattern Recognition Letter 28(1), 11–19 (2007)

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Email: 7413762@126.com, China

    Bo Huang & Naimin Li

Authors
  1. Bo Huang
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  2. Naimin Li
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Editor information

Editors and Affiliations

  1. Department of Computing, Hung Hom, Kowloon, The Hong Kong Polytechnic University, Hong Kong

    David Zhang

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© 2007 Springer-Verlag Berlin Heidelberg

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Huang, B., Li, N. (2007). Pixel Based Tongue Color Analysis. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_36

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  • DOI: https://doi.org/10.1007/978-3-540-77413-6_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77410-5

  • Online ISBN: 978-3-540-77413-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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