On-line lumen centre detection in gastrointestinal and respiratory endoscopy

Carles Sánchez*, Jorge Bernal, Debora Gil, F. Javier Sánchez

*Corresponding author for this work

Research output: Book/ReportProceedingResearchpeer-review

8 Citations (Scopus)


We present in this paper a novel lumen centre detection for gastrointestinal and respiratory endoscopic images. The proposed method is based on the appearance and geometry of the lumen, which we defined as the darkest image region which centre is a hub of image gradients. Experimental results validated on the first public annotated gastro-respiratory database prove the reliability of the method for a wide range of images (with precision over 95 %).

Original languageEnglish
Number of pages8
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8361 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Bronchoscopy
  • Colonoscopy
  • Lumen centre detection


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