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On-Line Lumen Centre Detection in Gastrointestinal and Respiratory Endoscopy

  • Carles SánchezEmail author
  • Jorge Bernal
  • Debora Gil
  • F. Javier Sánchez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8361)

Abstract

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 %).

Keywords

Lumen centre detection Bronchoscopy Colonoscopy 

Notes

Acknowledgments

This work was supported by a research grant from Universitat Autónoma de Barcelona 471-01- 2/2010 and by Spanish projects \(TIN2009-10435\), \(TIN2009-13618\) and \(TIN2012-33116\).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Carles Sánchez
    • 1
    Email author
  • Jorge Bernal
    • 1
  • Debora Gil
    • 1
  • F. Javier Sánchez
    • 1
  1. 1.Computer Vision Centre and Computer Science DepartmentCampus Universitat Autònoma de BarcelonaBellaterra, BarcelonaSpain

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