A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to di€ erent c

matlab贝叶斯高斯实现，主要是对于基于贝叶斯高斯函数的matlab实现-Matlab Bayesian Gauss implementation, mainly based on the Bayesian Gauss function matlab implementation