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MRF-MAP Classification
The image classification problem we consider involves assigning to
each pixel a class label taking a value from the set
.
The pixels are indexed by a two-dimensional rectangular lattice
and each pixel is characterized by an intensity value
yi from the set
.
A labelling of
will
be denoted by x, where
is the
corresponding class label of pixel i. We write
x* for
the true but unknown labelling configuration and
for an estimate of
x*, both of which are interpreted as
particular realizations of a random field X, which is an MRF
with a specified distribution
P(x). The observable image
itself is denoted by y, which is a realization of a
GHMRF as described in Section 2. The problem of
classification is to recover
x*, given the observed
image y.
Yongyue Zhang
2000-05-11