Complex networks : application for texture characterization and classification

Author

Chalumeau, T.

Costa, L. da F.

Laligant, Olivier

Mériaudeau, Fabrice

Publication date

2008

Abstract

This article describes a new method and approach of texture characterization. Using complex network representation of an image, classical and derived (hierarchical) measurements, we present how to have good performance in texture classification. Image is represented by a complex networks : one pixel as a node. Node degree and clustering coefficient, using with traditional and extended hierarchical measurements, are used to characterize "organization" of textures.

Document Type

Article

Language

English

Subjects and keywords

Processament d'imatges; Anàlisi de textura; Xarxes complexes; Procesamiento de imágenes; Análisis de textura; Redes complejas; Image processing; Texture analysis; Complex networks

Publisher

 

Related items

ELCVIA. Electronic letters on computer vision and image analysis ; V. 7 n. 3 (2008) p. 93-100

Rights

open access

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https://creativecommons.org/licenses/by-nc-nd/3.0/

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