Definition of a spatial entropy and its use for texture discrimination

Author

Tupin, F. ; Sigelle, M. ; Maître, H.

Author_Institution

Ecole Nat. Superieure des Telecommun., Paris, France

Volume

1

fYear

2000

fDate

2000

Firstpage

725

Abstract

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 by Volden, Giraudon and Berthod (1995) 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

Keywords

Markov processes; entropy; image texture; radar imaging; random processes; synthetic aperture radar; 4-connexity neighborhood; MRF properties; Markov random field; Potts model; SAR image analysis; heterogeneity measure; image texture; spatial entropy definition; synthetic aperture radar; texture discrimination; Entropy; Histograms; Image analysis; Image edge detection; Image processing; Image texture analysis; Information theory; Markov random fields; Particle measurements; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.901061

Filename

901061