477 search results - page 2 / 96 » Modeling Image Textures by Gibbs Random Fields |
ICIP
2003
IEEE
14 years 7 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
PAMI
1998
13 years 5 months ago
1998
—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
AIPR
2004
IEEE
13 years 9 months ago
2004
IEEE
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...