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Definition of a Spatial Entropy and its Use for Texture Discrimination

10 years 1 months ago
Definition of a Spatial Entropy and its Use for Texture Discrimination
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the Potts model, we establish a specific property of the entropy in this special case, and derive the analytical expressions for a 4-connexity neighborhood. Inspired by the previous property, we propose a new definition mainly based on an heterogeneity measure of the neighborhood. This definition is then used to analyze a SAR (Synthetic Aperture Radar) image and it is shown to be able to discriminate different types of textures.
Florence Tupin, Henri Maître, Marc Sigelle
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors Florence Tupin, Henri Maître, Marc Sigelle
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