417 search results - page 37 / 84 » Supervised Image Segmentation Using Markov Random Fields |
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
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IPMI
2011
Springer
14 years 3 months ago
2011
Springer
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
NIPS
2003
15 years 1 months ago
2003
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...
ISBI
2006
IEEE
16 years 16 days ago
2006
IEEE
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...