477 search results - page 7 / 96 » Modeling Image Textures by Gibbs Random Fields |
95
Voted
TIP
1998
15 years 5 days ago
1998
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
123
click to vote
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
97
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
We present a novel representation for modeling textured
regions subject to smooth variations in orientation and
scale. Utilizing the steerable pyramid of Simoncelli and
Freeman ...
103
Voted
ICIP
2001
IEEE
16 years 2 months ago
2001
IEEE
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...
116
Voted
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a novel representation for modeling textured regions subject to smooth variations in orientation and scale. Utilizing the steerable pyramid of Simoncelli and Freeman as...