• DocumentCode
    3094808
  • Title

    Lumen detection for capsule endoscopy

  • Author

    Zabulis, Xenophon ; Argyros, Antonis A. ; Tsakiris, Dimitris P.

  • Author_Institution
    Inst. of Comput. Sci., Found. for Res. & Technol. of Hellas, Heraklion
  • fYear
    2008
  • fDate
    22-26 Sept. 2008
  • Firstpage
    3921
  • Lastpage
    3926
  • Abstract
    In this paper, two visual cues are proposed, to be exploited for the navigation of active endoscopic capsules within the gastrointestinal (GI) tract. These cues consist of the detection and tracking of the lumen and of an illumination highlight in capsule endoscopy (CE) images. The proposed approach aims at developing vision algorithms which are robust with respect to the challenging imaging conditions encountered in the GI tract and the great variability of the acquired images. Cases where no or more than one lumens exists, are also detected. The proposed approach extends the state-of-the-art in lumen detection, and is demonstrated for in-vivo video sequences acquired from endoscopic capsules.
  • Keywords
    endoscopes; image sequences; medical image processing; navigation; capsule endoscopy; gastrointestinal tract; lumen detection; navigation; video sequences; Colon; Endoscopes; Image color analysis; Iris; Kernel; Navigation; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-2057-5
  • Type

    conf

  • DOI
    10.1109/IROS.2008.4650969
  • Filename
    4650969