Component-Trees and Multi-value Images: A Comparative Study

  • Authors:
  • Benoît Naegel;Nicolas Passat

  • Affiliations:
  • Université Nancy 1, LORIA, UMR CNRS, France 7503;Université de Strasbourg, LSIIT, UMR CNRS, France 7005

  • Venue:
  • ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
  • Year:
  • 2009

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Abstract

In this article, we discuss the way to derive connected operators based on the component-tree concept and devoted to multi-value images. In order to do so, we first extend the grey-level definition of the component-tree to the multi-value case. Then, we compare some possible strategies for colour image processing based on component-trees in two application fields: colour image filtering and colour document binarisation.