• DocumentCode
    3324651
  • Title

    Dental plaque quantification using mean-shift-based image segmentation

  • Author

    Kang, Jiayin ; Ji, Zhicheng

  • Author_Institution
    Sch. of Commun. & Control Eng., Jiangnan Univ., Wuxi, China
  • Volume
    1
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    470
  • Lastpage
    473
  • Abstract
    There is need to quantify the dental plaque in order to keep fit and prevent occurrence from vital diseases. Dental plaque quantification is very crucial to patients, dentists as well as researchers. This paper presented a method to automatically quantifying the dental plaque in digital tooth images using mean shift. The proposed approach was applied to a clinical database consisting of 30 objects. The experimental results show that the proposed method provided accurately quantitative measurement of dental plaque compared with that of traditional manual measurement indices of dental plaque.
  • Keywords
    computer vision; diseases; feature extraction; image segmentation; medical image processing; nonparametric statistics; pattern clustering; clinical database; dental plaque; digital tooth image; mean shift based image segmentation; quantitative measurement; vital disease; Automatic control; Automation; Communication system control; Control engineering; Dentistry; Diseases; Image analysis; Image segmentation; Kernel; Teeth; dental plaque; image segmentation; mean shift; quantification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication Control and Automation (3CA), 2010 International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-5565-2
  • Type

    conf

  • DOI
    10.1109/3CA.2010.5533758
  • Filename
    5533758