Abstract:
Segmentation (edge detection textures) images is one of the key problems in image
processing. Among the various models and approaches developed, some of the statistical
methods commonly used are based on the model by Hidden Markov fields (CMC). This
success is mainly due to the model's ability to take into account the spatial dependencies of
random variables, even when in large numbers, which can exceed one million. In this model
the hidden field is assumed Markov and must be estimated from the observed field. Such
treatment is possible by analysis of markovianité conditionally. This model was then
generalized to Markov fields couples (CMCouples), where it is assumed directly markovianité
the pair (X, Y) that offer the same treatment options as CMC and provide a better noise model
which allows in particular, to better take into account the existence of textures.
