Sciweavers

Share
TIP
2010

Variational Region-Based Segmentation Using Multiple Texture Statistics

8 years 5 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical texture based segmentation approaches. Existing methods, even if they use different and various texture features, are mainly stated as the optimization of a criterion evaluating punctual pixel likelihoods or similarity measure computed within local neighborhood. The former approaches require sufficient dissimilarity between used feature statistics. The latter involve an additional limitation which is the choice of the neighborhood size and shape. These two parameters and especially the neighborhood size significantly influence the classification performances: the neighborhood must be large enough to capture texture structures and small enough to warrant segmentation accuracy. These parameters are often set experimentally. To address these limitations, the proposed method is stated at the region-level, both for...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean
Added 22 May 2011
Updated 22 May 2011
Type Journal
Year 2010
Where TIP
Authors Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean-Marie Augustin
Comments (0)
books