Markov Random Field Models
The Markov Random Field Model can be used as a tool for low-pass
filtering (smoothing) a signal while still preserving edge information.
Using a mean field annealing process, a set of line elements which descripe
edge locations in a 3D MR image may be found.
Markov Random Field filtering. The MR image (left)
is processed, and line elements (center) are found in 3D.
A low-pass filtered image preserving edge information
is generated (right).
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© 1996 by Section for DSP, IMM
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