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Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images.

Abstract：

:Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the folding of the intestinal wall. In this paper, we present a new method to robustly detect wrinkle frames in full WCE videos by using a new mid-level image descriptor that is based on a centrality measure proposed for graphs. We present an extended validation, carried out in a very large database, that shows that the proposed method achieves state-of-the-art performance for this task.

journal_name

IEEE J Biomed Health Inform

journal_title

IEEE journal of biomedical and health informatics

authors

Seguí S,Drozdzal M,Zaytseva E,Malagelada C,Azpiroz F,Radeva P,Vitrià J

doi

10.1109/JBHI.2014.2304179

subject

Has Abstract

pub_date

2014-11-01 00:00:00

pages

1831-8

issue

6

eissn

2168-2194

issn

2168-2208

journal_volume

18

pub_type

杂志文章

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