Segmentation of inhomogeneous foreground and background intensity objects using a probability density function based data term and nonparametric shape priors

In this paper we consider segmentation of inhomogeneous foreground and background images using nonparametric shape priors. Non-homogeneity of foreground and background regions of objects to be segmented complicates the process of segmentation. Low quality of images and noise can be considered as reasons of this problem. Furthermore these regions themselves… (More)