Region based variational approach for the segmentation textured sonar images

Other titles Segmentation texturales des images sonar des fonds marins par une approche variationnelle basée région
Type Article
Date 2008-12
Language English
Author(s) Karoui Imen1, Fablet Ronan2, Boucher Jean-Marc1, Augustin Jean-Marie2
Affiliation(s) 1 : CNRS TAMCIC, ENST Bretagne, GET, F-29238 Brest, France.
2 : IFREMER, TSI STH, F-29280 Plouzane, France.
Source Traitement du signal (0765-0019) (GRETSI), 2008-12 , Vol. 25 , N. 1-2 , P. 73-85
WOS© Times Cited 1
Keyword(s) Level sets, Active regions, Segmentation, Angular backscattering, Feature selection, Sonar images, Texture
Abstract We propose a new region-based segmentation of textured sonar images with respect to seafloor types. We characterize sea-floor types by a set of empirical distributions estimated on texture responses to a set of different filters and we introduce a novel similarity measure between sonar textures in this attribute space. Our similarity measure is defined as a weighted sum of Kullback-Leibler divergences between texture features. The texture similarity measure weight setting is twofold: first we weight each filter, according to its discrimination power, the computation of these weights are issued from the margin maximization criterion, Second, we add an additional weighting, evaluated as an angular distance between the incidence angles of the compared texture samples, to cope with the problem related to the sonar image acquisition process that leads to a variability of the backscattered (BS) value and the texture aspect with the incidence angle range, Our segmentation method is stated as the minimization of a region-based functional that involves the similarity between region texture based statistics and prototype ones and a regularization term that imposes smoothness and regularity on region boundaries. The proposed approach is implemented using level-set methods, and the functional minimization is done using shape derivative tools.
Full Text
File Pages Size Access
publication-6120.pdf 10 2 MB Open access
Top of the page

How to cite 

Karoui Imen, Fablet Ronan, Boucher Jean-Marc, Augustin Jean-Marie (2008). Region based variational approach for the segmentation textured sonar images. Traitement du signal, 25(1-2), 73-85. Open Access version : https://archimer.ifremer.fr/doc/00000/6120/