417 search results - page 60 / 84 » Supervised Image Segmentation Using Markov Random Fields |
116
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Indexing echocardiogram videos at different levels of structure is essential for providing efficient access to their content for browsing and retrieval purposes. We present a nove...
151
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
TSP
2008
14 years 11 months ago
2008
Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
ISBI
2008
IEEE
16 years 14 days ago
2008
IEEE
We present here a method giving a robust segmentation for in vitro cells observed under standard phase-contrast microscopy. We tackle the problem using the watershed transform. Wa...
109
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CVPR
2000
IEEE
16 years 1 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...