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Theses

Hypergraphe de Voisinage Spatiocolorimétrique. Application en traitement d'images : Détection de
contours et du bruit.

Abstract : In this document, we are interested in image modeling by the means of the hypergraph theory. Our contribution is essentially centered on the determination of the properties resulting from this theory and on the analysis from their adequacy with image problems, particularly edge and noise detection.

First, we study the image spatiocolorimetric neighborhood hypergraph representation. Three representations are respectively presented incorporating global properties, local properties and similarity functions. Then, we use the hypergraph properties generated by the representation in order to define the structural models of noise and edge. This enables us to deduce the algorithms of noise suppression and edge detection on gray scale and color images. The performances of the proposed approaches
are compared with the solutions classically used. Finally, the representation by neighborhood hypergraph
consistently seems to be efficient in low level image processing.
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https://tel.archives-ouvertes.fr/tel-00011832
Contributor : Soufiane Rital <>
Submitted on : Wednesday, March 8, 2006 - 2:50:38 PM
Last modification on : Friday, July 17, 2020 - 2:54:04 PM
Long-term archiving on: : Saturday, April 3, 2010 - 9:10:27 PM

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  • HAL Id : tel-00011832, version 1

Citation

Soufiane Rital. Hypergraphe de Voisinage Spatiocolorimétrique. Application en traitement d'images : Détection de
contours et du bruit.. Autre [cs.OH]. Université de Bourgogne, 2004. Français. ⟨tel-00011832⟩

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