Complex networks : application for texture characterization and classification
Thomas Chalumeau, Luciano da Fontoura Costa, Olivier Laligant, Fabrice Mériaudeau · ELCVIA Electronic Letters on Computer Vision and Image Analysis · 2009
This article describes a new method and approch of texture characterization. Using complex network representation of an image, classical and derived (hierarchical) measurements, we presente 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 traditionnal and extended hierarchical measurements, are used to characterize ”organisation” of textures.