A Global Variational Model of Image Segmentation for Images with Noises
Weibo Wei · Journal of Qingdao University · 2012
A general model of two phase segmentation of images with noises based on binary label function and convex relaxation method is proposed.Its region model is based on the general probability distribution functions including Gaussian,Rayleigh,Poisson and Gamma distribution,and so on.The length term of active contour model is approximated using the total variation of the binary function.In the alternate process of optimization the parameters are estimated.The global minimization is realized via convexification and thresholding techniques,and the Split Bregman algorithm is designed.