TY  - JOUR
AU  - Santiago Segui
AU  - Michal Drozdzal
AU  - Ekaterina Zaytseva
AU  - Fernando Azpiroz
AU  - Petia Radeva
AU  - Jordi Vitria
PY  - 2014//
TI  - Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images
T2  - TITB
JO  - IEEE Transactions on Information Technology in Biomedicine
SP  - 1831
EP  - 1838
VL  - 18
IS  - 6
KW  - Wireless Capsule Endoscopy
KW  - Small Bowel Motility Dysfunction
KW  - Contraction Detection
KW  - Structured Prediction
KW  - Betweenness Centrality
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/SDZ2014.pdf
UR  - http://dx.doi.org/10.1109/JBHI.2014.2304179
N1  - OR; MILAB; 600.046;MV
ID  - Santiago Segui2014
ER  -