Stochastic spectral-spatial permutation ordering combination for nonlocal morphological processing - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Stochastic spectral-spatial permutation ordering combination for nonlocal morphological processing

Résumé

The extension of mathematical morphology to mul-tivariate data has been an active research topic in recent years. In this paper we propose an approach that relies on the consensus combination of several stochastic permutation orderings. The latter are obtained by searching for a smooth shortest path on a graph representing an image. The construction of the graph can be based on both spatial and spectral information and naturally enables patch-based nonlocal processing.
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Dates et versions

hal-01526273 , version 1 (22-05-2017)

Identifiants

  • HAL Id : hal-01526273 , version 1

Citer

Olivier Lézoray. Stochastic spectral-spatial permutation ordering combination for nonlocal morphological processing. International Conference on Systems, Signals and Image Processing, IEEE, May 2017, Poznan, Poland. ⟨hal-01526273⟩
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