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Boosted Wireless Capsule Endoscopy Frames Classification

Authors:
Giovanni Gallo
Alessandro Torrisi

Keywords: Classification - Pattern Recognition - Boosting - Wireless Capsule Endoscopy - Video Automatic Annotation

Abstract:
Intestinal lumen detection in endoscopic images is clinically relevant to assist the medical expert to study intestinal motility. Wireless Capsule Endoscopy (WCE) produces a high number of frames and automatic classification, indexation and annotation of WCE videos is crucial to a more widespread use of this diagnostic tool. In this paper we propose a novel intestinal lumen detection method based on boosting. In particular, we use a customized set of Haar-like features combined with a variant of Adaboost to select discriminative features and to combine them into a cascade of strong classifiers. Experimental results show the efficacy of boosted classifiers to quickly recognize the presence of intestinal lumen frames in a video.

Pages: 25 to 30

Copyright: Copyright (c) IARIA, 2011

Publication date: September 25, 2011

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-158-8

Location: Rome, Italy

Dates: from September 25, 2011 to September 30, 2011