Stochastic Models for Generic Images

@inproceedings{Gidas1999StochasticMF,
  title={Stochastic Models for Generic Images},
  author={Basilis Gidas},
  year={1999}
}
The idea of using statistical inference for analyzing and understanding images has been used for at least 20 years, going back, for instance, to the work of Grenander [Gr] and Cooper [Co]. To apply these techniques, one needs, of course, a probabilistic model for some class of images or some class of structures present in images. Many models of this type have been introduced. There are stochastic models for image textures [GGGD], [ZMW], for contours in images [Mu], [GCK], for the decomposition… CONTINUE READING
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