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» Modeling Image Textures by Gibbs Random Fields
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ICPR
2008
IEEE
15 years 11 months ago
Illumination invariants based on Markov random fields
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
Pavel Vacha, Michal Haindl
ICIP
2000
IEEE
15 years 11 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
ICPR
2000
IEEE
15 years 2 months ago
Nonparametric Markov Random Field Model Analysis of the MeasTex Test Suite
This paper looks at the nonparametric, multiscale, Markov Random Field (MRF) model and its application in classifying the MeasTex Test Suite. The MeasTex Test Suite is a standard ...
Rupert Paget, I. Dennis Longstaff
70
Voted
ICIP
2006
IEEE
15 years 4 months ago
MRF Modeling for Optical Flow Computation from Multi-Structure Objects
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
Véronique Prinet, Cyril Cassisa, FengFeng T...
101
Voted
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
14 years 8 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka