298 search results - page 41 / 60 » A Markov Random Field Model for Medical Image Denoising |
132
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ICIP
2005
IEEE
16 years 7 months ago
2005
IEEE
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
176
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ISBI
2004
IEEE
16 years 6 months ago
2004
IEEE
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
200
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We study the cosegmentation problem where the objective
is to segment the same object (i.e., region) from a pair
of images. The segmentation for each image can be cast
using a p...
161
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IDA
2009
Springer
15 years 10 months ago
2009
Springer
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
134
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...