An extension of component-trees to partial orders

  • Authors:
  • Nicolas Passat;Benoît Naegel

  • Affiliations:
  • LSIIT, UMR, CNRS, Strasbourg University, France;LORIA, UMR, CNRS, Nancy 1 University, France

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

Component-trees provide efficient ways to define filtering-based procedures on grey-level images. We propose an extension of the notion of component-trees to the case of "non grey-level" images (i.e. images taking their values in partially-ordered sets) including in particular - but not exclusively - colour images. Experiments performed on such images emphasise the interest of the approach.