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Article Dans Une Revue Signal Processing Année : 2014

Mean curvature Flows on Graphs for Image and Manifold Restoration and Enhancement

Résumé

In this paper, we propose an adaptation and a transcription of the mean curvature level set equation on the general discrete domain, a weighted graph. For this, we introduce perimeters on graphs using difference operators and define the curvature as the first variation of these perimeters. Then we propose a morphological scheme that unifies both local and nonlocal notions of mean curvature on Euclidean domains. Furthermore, this scheme allows to extend the mean curvature applications to process images, manifolds and data which can be represented by graphs.
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Dates et versions

hal-01134396 , version 1 (23-03-2015)

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Abdallah El Chakik, Abderrahim Elmoataz, Xavier Desquesnes. Mean curvature Flows on Graphs for Image and Manifold Restoration and Enhancement. Signal Processing, 2014, 105, pp.449-463. ⟨10.1016/j.sigpro.2014.04.029⟩. ⟨hal-01134396⟩
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