Name
Abstract | ||
|---|---|---|
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) prop- erties. 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 expres- sions for a 4-connexity neighborhood. Inspired by the previ- ous property, we propose a new definition mainly based on an heterogeneity measure of the neighborhood. This def- inition is then used to analyze a SAR (Synthetic Aperture Radar) image and it is shown to be able to discriminate dif- ferent types of textures. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICIP.2000.901061 | ICIP |
Keywords | DocType | Volume |
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 | Conference | 1 |
ISSN | Citations | PageRank |
1522-4880 | 2 | 0.62 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florence Tupin | 1 | 1322 | 109.27 |
| Marc Sigelle | 2 | 316 | 34.12 |
| Henri Maître | 3 | 25 | 3.16 |