Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations

  • Michał Kazimierz Kowalczyk
  • Bertrand Kerautret
  • Benoît Naegel
  • Jonathan Weber
Conference paper

DOI: 10.1007/978-3-642-33564-8_57

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7594)
Cite this paper as:
Kowalczyk M.K., Kerautret B., Naegel B., Weber J. (2012) Revisiting Component Tree Based Segmentation Using Meaningful Photometric Informations. In: Bolc L., Tadeusiewicz R., Chmielewski L.J., Wojciechowski K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg

Abstract

This paper proposes to revisit a recent interactive segmentation algorithm based on an original image representation called the component-tree [1]. This method relies on an optimisation process allowing to choose a segmentation result fitting at best some image markers defined by the user. We propose different solutions to improve the efficiency of the method, in particular by including meaningful photometric informations and by assessing automatically the user parameter α.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Michał Kazimierz Kowalczyk
    • 1
  • Bertrand Kerautret
    • 1
  • Benoît Naegel
    • 2
  • Jonathan Weber
    • 1
  1. 1.LORIA, UMR 7503Université de LorraineFrance
  2. 2.LSIIT, UMR 7005Université de StrasbourgFrance

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