%0 Conference Proceedings
%T Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis
%A Jorge Bernal
%A Debora Gil
%A Carles Sanchez
%A F. Javier Sanchez
%B 1st MICCAI Workshop on Computer-Assisted and Robotic Endoscopy
%D 2014
%V 8899
%I Springer International Publishing
%@ 0302-9743
%@ 978-3-319-13409-3
%F Jorge Bernal2014
%O MV; IAM; 600.044; 600.047; 600.060; 600.075
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2503), last updated on Thu, 10 Nov 2016 12:17:58 +0100
%X 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.
%K Image Segmentation
%K Polyps
%K Colonoscopy
%K Valley Information
%K Energy Maps
%U http://refbase.cvc.uab.es/files/BGS2014b.pdf
%U http://dx.doi.org/10.1007/978-3-319-13410-9_1
%P 1-10