• DocumentCode
    3095340
  • Title

    Automatic Segmentation in Tongue Image by Mouth Location and Active Appearance Model

  • Author

    Zhong, Xiuqin ; Fu, Hongguang ; Yang, Junhua ; Wang, Weiming

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    We demonstrate a novel method to segment the tongue image automatically with the mouth location method and active appearance model (AAM). With the help of a particular feature of the mouth,we could locate the dark hole´s position easily and quickly. For the close relationship between the mouth and tongue, we would predict the approximate area of the tongue. Then we apply the AAM to segment the tongue from the image completely, which uses texture and shape of an object. During the AAM search, we constrain the initial displacement and size in the approximate area. For those images that failed to locate the mouth, we use a multi-initial displacement method during the AAM search to optimize the result. The experiment shows that our method is accurate and effective.
  • Keywords
    approximation theory; image segmentation; image texture; active appearance model; automatic tongue image segmentation; mouth location; multi initial displacement method; object texture; Active appearance model; Active shape model; Colored noise; Computer applications; Computer science; Image segmentation; Mouth; Noise shaping; Optimization methods; Tongue; AAM; automatic segmentation; mouth location; tongue image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3929-4
  • Electronic_ISBN
    978-1-4244-5421-1
  • Type

    conf

  • DOI
    10.1109/DASC.2009.118
  • Filename
    5380423