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Communication Dans Un Congrès Année : 2005

A segmentation algorithm for noisy images

Résumé

This paper presents a segmentation algorithm for gray-level images and addresses issues related to its performance on noisy images. It formulates an image segmentation problem as a partition of a weighted image neighborhood hypergraph. To overcome the computational difficulty of directly solving this problem, a multilevel hypergraph partitioning has been used. To evaluate the algorithm, we have studied how noise affects the performance of the algorithm. The alpha-stable noise is considered and its effects on the algorithm are studied. Key words : graph, hypergraph, neighborhood hypergraph, multilevel hypergraph partitioning, image segmentation and noise removal.
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Dates et versions

hal-01589733 , version 1 (19-09-2017)

Identifiants

  • HAL Id : hal-01589733 , version 1

Citer

Soufiane Rital, Serge Miguet, Hocine Cherifi. A segmentation algorithm for noisy images. The 11th International Conference on Computer Analysis of Images and Patterns , Sep 2005, INRIA Rocquencourt research centre, France. pp.205-212. ⟨hal-01589733⟩
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