Image analysis throught multifractal description

Abstract : This work is intended to provide a multifractal approach to the problem of edge detection in images. We show that an alternative description of images, based on the multifractal characterization of the signal, can be used instead of the classical approach that involves smoothing of the discrete data in order to compute derivatives. We focus on the study of edge detection using measures defined as functions of the grey level values in the neighborhood of a given pixel. Each measure is studied through the way it reacts to different types of edges and noise added to the image. Finally, we mention how the use of the multifractal spectrum (A, f(A)) may lead to a global approach to the problems of edge detection and region extraction.
Type de document :
[Research Report] RR-1942, INRIA. 1993
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Soumis le : mercredi 24 mai 2006 - 16:11:48
Dernière modification le : vendredi 25 mai 2018 - 12:02:05
Document(s) archivé(s) le : mardi 12 avril 2011 - 16:00:52



  • HAL Id : inria-00074732, version 1



Jacques Lévy Véhel, Jean-Paul Berroir. Image analysis throught multifractal description. [Research Report] RR-1942, INRIA. 1993. 〈inria-00074732〉



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