PT Unknown
AU Jorge Bernal
   Debora Gil
   Carles Sanchez
   F. Javier Sanchez
TI Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis
BT 1st MICCAI Workshop on Computer-Assisted and Robotic Endoscopy
PY 2014
BP 1
EP 10
VL 8899
DI 10.1007/978-3-319-13410-9_1
DE Image Segmentation; Polyps; Colonoscopy; Valley Information; Energy Maps
AB In this paper we present a novel polyp region segmentation method for colonoscopy videos. Our method uses valley information associated to polyp boundaries in order to provide an initial segmentation. This first segmentation is refined to eliminate boundary discontinuities caused by image artifacts or other elements of the scene. Experimental results over a publicly annotated database show that our method outperforms both general and specific segmentation methods by providing more accurate regions rich in polyp content. We also prove how image preprocessing is needed to improve final polyp region segmentation.
ER