Complex networks: application for texture classification

T. Chalumeau, L. da F. Costa, O. Laligant, F. Meriaudeau, David Fofi, Fabrice Meriaudeau
2007 Eighth International Conference on Quality Control by Artificial Vision  
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.
doi:10.1117/12.737170 fatcat:nhhcep6lpbd2jaoivfanv7u7aq