Integration of valley orientation distribution for polyp region identification in colonoscopy

Jorge Bernal*, Javier Sánchez, Fernando Vilariño

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAbdominal Imaging
Subtitle of host publicationComputational and Clinical Applications - Third International Workshop, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Number of pages8
Publication statusPublished - 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7029 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Colonoscopy
  • Polyp Detection
  • VO-DOVA descriptor


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