211 search results - page 8 / 43 » Estimating Markov Random Field Potentials for Natural Images |
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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...
TFS
2008
2008
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
13 years 7 months ago
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
EMMCVPR
1999
Springer
13 years 11 months ago
1999
Springer
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
IJCV
2006
13 years 7 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...