PT Journal
AU Santiago Segui
   Michal Drozdzal
   Ekaterina Zaytseva
   Fernando Azpiroz
   Petia Radeva
   Jordi Vitria
TI Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images
SO IEEE Transactions on Information Technology in Biomedicine
JI TITB
PY 2014
BP 1831
EP 1838
VL 18
IS 6
DI 10.1109/JBHI.2014.2304179
DE Wireless Capsule Endoscopy; Small Bowel Motility Dysfunction; Contraction Detection; Structured Prediction; Betweenness Centrality
AB 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.
ER