Bayesian Image Segmentations by Potts Prior and Loopy Belief Propagation
Bayesian Image Segmentations by Potts Prior and Loopy Belief Propagation
This paper presents a Bayesian image segmentation model based on Potts prior and loopy belief propagation. The proposed Bayesian model involves several terms, including the pairwise interactions of Potts models, and the average vectors and covariant matrices of Gauss distributions in color image modeling. These terms are often referred to …