• DocumentCode
    1847701
  • Title

    Dental contour extraction using window empirical mode decomposition

  • Author

    Wei Liu ; Guoxia Sun ; Huiqiang Sun ; Hui Li

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    847
  • Lastpage
    850
  • Abstract
    Medical images with fuzzy and non-uniform characteristics make it difficult to accurately extract target contour, aiming at this problem, an improved method is proposed to detect the dental contour of a single-teeth X-ray film segmented from a bitewing radiograph. Three necessary steps are to be performed, the first of which is to enhance the contrast of the medical X-ray image based on human visual properties after denoised with morphology open-close filter, the second to get the first intrinsic mode function from the empirical mode decomposition with a square-adaptive sliding window of the enhanced image, and the third to detect and threshold the edge of the intrinsic mode function. Some results of experiments have confirmed the efficiency of our proposed method.
  • Keywords
    feature extraction; image denoising; image enhancement; image segmentation; medical image processing; X-ray film; bitewing radiograph; dental contour extraction; human visual properties; medical X-ray image; medical images; morphology open-close filter; square-adaptive sliding window; target contour; window empirical mode decomposition; dental contour extraction; empirical mode decomposition; intrinsic mode function; medical image enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491713
  • Filename
    6491713