Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00076943
Contributor : Rapport de Recherche Inria <>
Submitted on : Monday, May 29, 2006 - 11:39:23 AM
Last modification on : Friday, May 25, 2018 - 12:02:06 PM
Long-term archiving on: : Friday, May 13, 2011 - 10:09:39 PM

Identifiers

  • HAL Id : inria-00076943, version 1

Collections

Citation

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

Share

Metrics

Record views

164

Files downloads

269