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	Provedor de dados ArchiMer (3) Autor Augustin, Jean-marie (3) Boucher, Jean-marc (2) Fablet, Ronan (2) Karoui, Imen (2) Boucher, J.m. (1) Fablet, R (1) Karoui, I (1) Mais... Palavra-chave Active regions (3) Level sets (3) Angular backscattering (2) Feature selection (2) Segmentation (2) Sonar images (2) Texture (2) MMP (1) Nonparametric distributions (1) Supervised and unsupervised segmentation (1) Texture similarity measure (1) Mais... Tipo do documento Text (3) Ano 2010 (1) 2009 (1) 2008 (1) País France (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Region based variational approach for the segmentation textured sonar images ArchiMer Karoui, Imen; Fablet, Ronan; Boucher, Jean-marc; Augustin, Jean-marie. 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... Tipo: Text Palavras-chave: Level sets; Active regions; Segmentation; Angular backscattering; Feature selection; Sonar images; Texture. Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-6120.pdf Variational Region-Based Segmentation Using Multiple Texture Statistics ArchiMer Karoui, Imen; Fablet, Ronan; Boucher, Jean-marc; Augustin, Jean-marie. This paper investigates variational region-level criterion for supervised and unsupervised texture-based image segmentation. The focus is given to the demonstration of the effectiveness and robustness of this region-based formulation compared to most common variational approaches. The main contributions of this global criterion are twofold. First, the proposed methods circumvent 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 a local neighborhood. These approaches require sufficient dissimilarity between the considered texture... Tipo: Text Palavras-chave: Active regions; Level sets; Nonparametric distributions; Supervised and unsupervised segmentation; Texture similarity measure. Ano: 2010 URL: http://archimer.ifremer.fr/doc/00018/12973/9951.pdf Seabed segmentation using optimized statistics of sonar textures ArchiMer Karoui, I; Fablet, R; Boucher, J.m.; Augustin, Jean-marie. We propose and compare two supervised algorithms of the segmentation of textured sonar images with respect to seafloor types. We characterize sea-floors by a set of empirical distributions estimated on texture responses for a wide set of different filters with various parameterizations and we introduce a novel similarity measure between sonar textures in this feature space. Our similarity measure is defined as a weighted sum of Kullback-Leibler divergences between texture features. The weight setting is twofold. First each filter is weighted according to its discrimination power: the computation of these weights are issued from a margin maximization criterion. Second, an additional weight, evaluated as an angular distance between the incidence angles of... Tipo: Text Palavras-chave: Level sets; Active regions; MMP; Segmentation; Angular backscattering; Feature selection; Sonar images; Texture. Ano: 2009 URL: http://archimer.ifremer.fr/doc/2009/publication-6101.pdf Registros recuperados: 3 Primeira ... 1 ... Última

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