Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors

摘要

Segmenting images of low quality or with missing data is a challenging problem. In such scenarios, exploiting statistical prior information about the shapes to be segmented can improve the segmentation results significantly. Incorporating prior density of