TITLE:
Soft Image Segmentation Based on the Mixture of Gaussians and the Phase-Transition Theory
AUTHORS:
Celia A. Z. Barcelos, Yunmei Chen, Fuhua Chen
KEYWORDS:
Image Segmentation, Variational Model, Gaussian Mixture
JOURNAL NAME:
Applied Mathematics,
Vol.5 No.18,
October
30,
2014
ABSTRACT: In this paper, we propose a new soft multi-phase segmentation model where it is assumed that the pixel intensities are distributed as a Gaussian mixture. The model is formulated as a minimization problem through the use of the maximum likelihood estimator and phase-transition theory. The mixture coefficients, which are estimated using a spatially varying mean and variance procedure, are used for image segmentation. The experimental results indicate the effectiveness of the method.