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» A Compound MRF Texture Model
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ICIP
2000
IEEE
14 years 9 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 ...
Florence Tupin, Henri Maître, Marc Sigelle
ICIP
2001
IEEE
14 years 9 months ago
(Automatic) target detection in synthetic aperture radar imagery via terrain recognition
Surveillance of large areas of the Earths surface is often undertaken with low resolution synthetic aperture radar (SAR) imagery from either a satellite or a plane. There is a nee...
Rupert Paget, John Homer, Donald Crisp

Publication
222views
15 years 7 months ago
Quantitative Description of Spatially Homogeneous Textures by Characteristic Grey Level Co-Occurrences
Gibbs random eld model with multiple pairwise pixel interactions describes each type of spatially homogeneous image textures in terms of a pixel neighbourhood and Gibbs potentials...
Georgy Gimel'farb
ICCV
2009
IEEE
15 years 9 days ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
ECCV
2008
Springer
14 years 9 months ago
Analysis of Building Textures for Reconstructing Partially Occluded Facades
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
Thommen Korah, Christopher Rasmussen