• DocumentCode
    3273848
  • Title

    Application of Image Segmentation Technique in Tongue Diagnosis

  • Author

    Zhai Xue-ming ; Lu Hang-dong ; Zhang Li-zhong

  • Author_Institution
    Sch. of Comput. Sci. & Ttechnology, North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    768
  • Lastpage
    771
  • Abstract
    Tongue diagnosis is an important diagnostical method of traditional Chinese medicine. The accuracy of tongue diagnosis can be improved by tongue characterization. Tongue area segmentation are important contents of preprocess of tongue image The use of computer vision technology to achieve the objective of tongue diagnosis of Chinese medicine is of great significance. The first task of objective analysis of tongue images is to extract tongue area out. The first step is to use median filter to remove noise image. The second step is transforms the image color space to HIS color space, Then the utilization dual Snakes algorithms obtain the accurate and complete tongue image. Through testing, the method has proved to be satisfactory for tongue image segmentation.
  • Keywords
    biological organs; computer vision; feature extraction; image colour analysis; image denoising; image segmentation; median filters; medical image processing; HIS color space; computer vision technology; dual Snake algorithm; image color space; image segmentation technique; median filter; noise image removal; tongue area segmentation; tongue diagnosis; tongue image extraction; traditional Chinese medicine; Application software; Biomedical imaging; Colored noise; Computer vision; Filters; Image analysis; Image segmentation; Medical diagnostic imaging; Space technology; Tongue; Image segmentation; Snake; The objective of tongue diagnosis; Tongue image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.130
  • Filename
    5231477