Graph Cuts segmentation based on Bayesian nonparametric estimation
贝叶斯框架下的非参数估计Graph Cuts分割算法

Suppose each pixel of an image is a random variable under some kind of probability distribution,according to the Bayes theorem,the segmentation of the original images is equivalent to their maximum a posteriori probability estimation.In this framework,we proposed an improved image segmentation algorithm based on Graph Cuts.The construction of the original Graph Cuts model is improved in two aspects.First,fuzzy C-means clustering is introduced into the energy function of data restriction.With the help of fuz...