We consider the problem of unsupervised segmentation of textured images. The only explicit
assumption made is that the intensity data can be modeled by a Gauss Markov random held
(GMRF). The image is divided into number of nonoverlapping regions and the GMRF
parameters are computed from each of these regions. A simple clustering method is used to
merge these regions. The parameters of the model estimated from the clustered segments
are then used in two different schemes, one being an approximation to the maximum a …