@InProceedings{JoanM.Nu{\~n}ez2013,
author="Joan M. Nu{\~n}ez
and Jorge Bernal
and F. Javier Sanchez
and Fernando Vilari{\~n}o",
title="Blood Vessel Characterization in Colonoscopy Images to Improve Polyp Localization",
booktitle="Proceedings of the International Conference on Computer Vision Theory and Applications",
year="2013",
publisher="SciTePress",
volume="1",
pages="162--171",
optkeywords="Colonoscopy",
optkeywords="Blood vessel",
optkeywords="Linear features",
optkeywords="Valley detection",
abstract="This paper presents an approach to mitigate the contribution of blood vessels to the energy image used at different tasks of automatic colonoscopy image analysis. This goal is achieved by introducing a characterization of endoluminal scene objects which allows us to differentiate between the trace of 2-dimensional visual objects,such as vessels, and shades from 3-dimensional visual objects, such as folds. The proposed characterization is based on the influence that the object shape has in the resulting visual feature, and it leads to the development of a blood vessel attenuation algorithm. A database consisting of manually labelled masks was built in order to test the performance of our method, which shows an encouraging success in blood vessel mitigation while keeping other structures intact. Moreover, by extending our method to the only available polyp localizationalgorithm tested on a public database, blood vessel mitigation proved to have a positive influence on the overall performance.",
optnote="MV; 600.054; 600.057;SIAI",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2198), last updated on Mon, 10 Jul 2017 10:00:07 +0200",
doi="10.5220/0004211601620171",
file=":http://refbase.cvc.uab.es/files/NBS2013.pdf:PDF"
}