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Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields.
Haluk Derin
Howard Elliott
Roberto Cristi
Donald Geman
Published in:
IEEE Trans. Pattern Anal. Mach. Intell. (1984)
Keyphrases
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binary images
markov random field
low level vision
image segmentation
energy function
component labeling
connected component labeling
potential functions
maximum a posteriori
smoothing algorithm
mrf models
connected components
higher order
belief propagation
image restoration
iterated conditional modes
pairwise
level set
graph cuts
loopy belief propagation
textured images
gray level images
random fields
parameter estimation
gray level
active contours
message passing
min cut
energy minimization
segmentation algorithm
gray scale
multiscale