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CAIP
2005
Springer

A Segmentation Algorithm for Noisy Images

10 years 5 months ago
A Segmentation Algorithm for Noisy Images
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 α-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.
Soufiane Rital, Hocine Cherifi, Serge Miguet
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CAIP
Authors Soufiane Rital, Hocine Cherifi, Serge Miguet
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