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	Provedor de dados ArchiMer (1) Autor Augustin, Jean-marie (1) Boucher, J (1) Fablet, Ronan (1) Karoui, I (1) Pieczynski, W (1) Palavra-chave Feature fusion and selection (1) MRF based texture segmentation (1) Non parametric feature statistics (1) Texture recognition (1) Tipo do documento Text (1) Ano 2008 (1) País France (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation ArchiMer Karoui, I; Fablet, Ronan; Boucher, J; Pieczynski, W; Augustin, Jean-marie. Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation. The selection of the filter banks remains however a crucial issue, as well as determining a relevant combination of these descriptors. To cope with selection and fusion issues, we propose a novel approach relying on the definition of the texture-based similarity measure as a weighted sum of the Kullback-Leibler measures between empirical feature statistics. Within a supervised framework, the weighting factors are estimated according to the maximization of a margin-based criterion. This weighting scheme can also be considered as a filter selection method: texture filter response... Tipo: Text Palavras-chave: MRF based texture segmentation; Texture recognition; Feature fusion and selection; Non parametric feature statistics. Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-4546.pdf Registros recuperados: 1 Primeira ... 1 ... Última

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