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
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;
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
DOI :
10.1109/IROS.2008.4650969