• DocumentCode
    2489105
  • Title

    Robust Epiphyseal Extraction Method Based on Horizontal Profile Analysis of Finger Images

  • Author

    Park, Ki-Hong ; Lee, Jong-Min ; Kim, Whoi-Yul

  • Author_Institution
    Hanyang Univ., Seoul
  • fYear
    2007
  • fDate
    23-24 Nov. 2007
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    By existing epiphyseal extraction methods, epiphyses are not extracted accurately, because an error occurs in the detection of the finger´s central axis. This paper proposes a new, more accurate epiphyseal extraction method that estimates the central axis from the top of the distal phalange to the upper part of the metacarpal. The method entails analysis of a finger´s horizontal profile that detects that finger´s central axis, on and from which epiphyses are detected and extracted, respectively. The result of an experiment showed that this method accurately extracts epiphyses even from finger images for which the detection of the central axis is difficult.
  • Keywords
    bone; estimation theory; feature extraction; medical image processing; object detection; central axis estimation; finger central axis detection; finger images; horizontal profile analysis; robust epiphyseal extraction; Biological tissues; Bones; Data mining; Failure analysis; Fingers; Image analysis; Image edge detection; Information analysis; Information technology; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Convergence, 2007. ISITC 2007. International Symposium on
  • Conference_Location
    Joenju
  • Print_ISBN
    0-7695-3045-1
  • Electronic_ISBN
    978-0-7695-3045-1
  • Type

    conf

  • DOI
    10.1109/ISITC.2007.25
  • Filename
    4410650