Texture and multifractals : new tools for image analysis

Abstract : We present some new ideas for image analysis and texture segmentation. The two important points are the introduction of the multifractal theory for image understanding in a rigorous manner, which allows to do all the computations directly on the discrete signal, and the definition of a precise framework for texture analysis, in which we do not choose any a priori model for the study but instead let the peculiar data in each case decide which model is the most appropriate. We define an approach general enough as to handle a great variety of textures and we propose a new scheme, based on learning and optimal cooperation, that gives good results on a lot of segmentation experiments presented here.
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Rapport
[Research Report] RR-1706, INRIA. 1992
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https://hal.inria.fr/inria-00076943
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Soumis le : lundi 29 mai 2006 - 11:39:23
Dernière modification le : vendredi 25 mai 2018 - 12:02:06
Document(s) archivé(s) le : vendredi 13 mai 2011 - 22:09:39

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  • HAL Id : inria-00076943, version 1

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Jacques Lévy Véhel, Pascal Mignot, Jean-Paul Berroir. Texture and multifractals : new tools for image analysis. [Research Report] RR-1706, INRIA. 1992. 〈inria-00076943〉

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