477 search results - page 15 / 96 » Modeling Image Textures by Gibbs Random Fields |
104
Voted
PREMI
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
TIP
2008
14 years 10 months ago
2008
Abstract--Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, t...
100
Voted
AE
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
108
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CVPR
2005
IEEE
16 years 6 days ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
79
Voted
CVIU
2007
14 years 10 months ago
2007
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...