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              <p>The aim of this work is to extract features of an image from the result of a multi-scale transform, the Curvelets transform. This one is able in the same time to characterize textures of images according to various scale levels and to take into account the great diversity of shapes and their strong anisotropy even in a disturbed environment (disturbed background, incomplete shapes). Extracted features are curvature and orientation of shapes' contours. Those features are essential in our work. Results are presented in the information retrieval context over ancient manuscripts.</p>
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              <p>Dans cet article nous présentons une nouvelle méthode d'extraction de caractéristiques d'images basée sur une transformée multi-échelle, la transformée en Curvelets. Cette dernière possède à la fois les propriétés de caractériser les textures des images selon différents niveaux d'échelle et de rendre compte de la grande variété des formes et de leur forte anisotropie même dans des environnements bruités (fond bruité, formes incomplètes). Les caractéristiques extraites de cette représentation sont la courbure et l'orientation sur le contour des formes, ces deux dimensions étant primordiales pour nos travaux. Les résultats obtenus sont présentés dans le cadre d'une application à la recherche d'informations sur des manuscrits anciens numérisés.</p>
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