298 search results - page 8 / 60 » A Markov Random Field Model for Medical Image Denoising |
SSIAI
2000
IEEE
15 years 1 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
84
Voted
CVBIA
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
ICIP
2009
IEEE
15 years 8 months ago
2009
IEEE
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
Nonrigid registration of contrast-enhanced MR images is a difficult problem due to the change in pixel intensity caused by the washin and wash-out of the contrast agent. In this pa...
PAMI
2008
14 years 9 months ago
2008
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....