TY  - CONF
AU  - Jorge Bernal
AU  - Debora Gil
AU  - Carles Sanchez
AU  - F. Javier Sanchez
A2  - CARE
PY  - 2014//
TI  - Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis
T2  - LNCS
BT  - 1st MICCAI Workshop on Computer-Assisted and Robotic Endoscopy
SP  - 1
EP  - 10
VL  - 8899
PB  - Springer International Publishing
KW  - Image Segmentation
KW  - Polyps
KW  - Colonoscopy
KW  - Valley Information
KW  - Energy Maps
N2  - 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.
SN  - 0302-9743
SN  - 978-3-319-13409-3
L1  - http://refbase.cvc.uab.es/files/BGS2014b.pdf
UR  - http://dx.doi.org/10.1007/978-3-319-13410-9_1
N1  - MV; IAM; 600.044; 600.047; 600.060; 600.075
ID  - Jorge Bernal2014
ER  -