Soft Image Segmentation Based on the Mixture of Gaussians and the Phase-Transition Theory

• 作 者: Celia A. Z. Barcelos Yunmei Ch
• 机 构: FacultyofMathematics,DepartmentofMathematics,DepartmentofNaturalScience&,Mathematics
• 出 处: 应用数学(英文)
• 发表日期: 2014年18期
• 关键词: Image SEGMENTATION VARIATIONAL Model GAUSSIAN MIXTURE Image Segmentation Variati

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