TY  - JOUR
AU  - Santiago Segui
AU  - Michal Drozdzal
AU  - Fernando Vilariño
AU  - Carolina Malagelada
AU  - Fernando Azpiroz
AU  - Petia Radeva
AU  - Jordi Vitria
PY  - 2012//
TI  - Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy
T2  - TITB
JO  - IEEE Transactions on Information Technology in Biomedicine
SP  - 1341
EP  - 1352
VL  - 16
IS  - 6
N2  - Wireless capsule endoscopy (WCE) is a device that allows the direct visualization of gastrointestinal tract with minimal discomfort for the patient, but at the price of a large amount of time for screening. In order to reduce this time, several works have proposed to automatically remove all the frames showing intestinal content. These methods label frames as {intestinal content – clear} without discriminating between types of content (with different physiological meaning) or the portion of image covered. In addition, since the presence of intestinal content has been identified as an indicator of intestinal motility, its accurate quantification can show a potential clinical relevance. In this paper, we present a method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles. Our proposal is based on a twofold system. First, frames presenting intestinal content are detected by a support vector machine classifier using color and textural information. Second, intestinal content frames are segmented into {turbid, bubbles, and clear} regions. We show a detailed validation using a large dataset. Our system outperforms previous methods and, for the first time, discriminates between turbid from bubbles media.
SN  - 1089-7771
L1  - http://refbase.cvc.uab.es/files/SDV2012.pdf
UR  - http://dx.doi.org/10.1109/TITB.2012.2221472
N1  - MILAB; MV; OR;SIAI
ID  - Santiago Segui2012
ER  -