A new image segmentation combining hidden Markov trees model with Bayesian approach

The traditional Markov trees model used in image segmentation has several disadvantages, such as too much time and no convergence. Aiming at this disadvantage, a new image segmentation combining hidden Markov trees model with Bayesian approaches is proposed. Firstly, establish the label field update model according to the image grey distribution, then update the label field so that the convergence speed has been accelerated. It is shown that satisfactory segmentation is achieved.