标题:SAR Image Segmentation Based on Fuzzy Region Competition Method and Gamma Model
作者:Cunliang Liu;Yongguo Zheng;Zhenkuan Pan;Jinming Duan;Guodong Wang
作者机构:College of Information Science & Engineering, Shandong University of Science & Technology, Qingdao, China,College of Inf
通讯作者:Liua, C
来源:Journal of software
出版年:2013
卷:8
期:1
页码:228-235
DOI:10.4304/jsw.8.1.228-235
关键词:SAR image;segmentation;ROEWA;fuzzy membership functions;augmented lagrangian method
摘要:In this paper, we present a novel variational framework for multiphase synthetic aperture radar (SAR) image segmentation based on the fuzzy region competition method. A new energy functional is proposed to integrate the Gamma model and the edge detector based on the ratio of exponentially weighted averages (ROEWA) operator within the optimization process. To solve the optimization problem efficiently, the functional is firstly modified to be convex and differentiable by using the fuzzy membership functions. And then the constrained optimization problem is converted to an unconstrained one by using the variable splitting techniques and the augmented Lagrangian method (ALM). Finally the energy is minimized with an alternative iterative minimization algorithm. The effectiveness of our proposed algorithm is validated by experiments on both synthetic and real SAR images.
收录类别:EI
资源类型:期刊论文
TOP