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	Provedor de dados ArchiMer (1) Autor Augustin, Jean-marie (1) Boucher, Jean-marc (1) Fablet, Ronan (1) Karoui, Imen (1) Palavra-chave Active regions (1) Level sets (1) Nonparametric distributions (1) Supervised and unsupervised segmentation (1) Texture similarity measure (1) Tipo do documento Text (1) Ano 2010 (1) País France (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última 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 Registros recuperados: 1 Primeira ... 1 ... Última

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