Integration of valley orientation distribution for polyp region identification in colonoscopy

Authors:
Jorge Bernal;Javier Sánchez;Fernando Vilariño
Affiliations:
Computer Vision Center and Computer Science Department, Campus Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain;Computer Vision Center and Computer Science Department, Campus Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain;Computer Vision Center and Computer Science Department, Campus Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
Venue:
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Year:
2011

Citing 3
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Abstract

This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed description method consists of defining, for each point, a series of radial sectors around it and then accumulate the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming another approach that also integrates depth of valleys information.