HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

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.
Document type :
Complete list of metadata

Contributor : Rapport de Recherche Inria Connect in order to contact the contributor
Submitted on : Wednesday, May 24, 2006 - 4:11:48 PM
Last modification on : Thursday, February 3, 2022 - 11:18:43 AM
Long-term archiving on: : Tuesday, April 12, 2011 - 4:00:52 PM


  • 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⟩



Record views


Files downloads