Level set SAR image segmentation method combined with ratio edge information

被引：0
|
作者：
Lü Y. [1 ]
Feng D.-Z. [1 ]
机构：
[1] School of Electronic Engineering, Xidian Univ.
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 03期
关键词：
Edge information; Image segmentation; Level set; Partial differential equation; Synthetic aperture radar;
D O I：
10.3969/j.issn.1001-2400.2010.03.019
中图分类号：
学科分类号：
摘要：
A variational level set synthetic aperture radar (SAR) image segmentation method based on edge and region information is proposed. An energy functional adapted for SAR image segmentation is defined, which consists of an active contour without the edge model and the edge information of SAR image by the Ratio operator with CFAR. Partial differential equations (PDE) of curve evolution are obtained by minimization of the energy functional. To implement image segmentation, the solution of the PDEs by a variational level set approach is applied. The performance of the method is verified by both synthetic and real SAR images. It is shown that the method can accurately extract targets from the SAR image but without any despeckle step, which possesses a preferable edge accuracy.
引用
收藏
页码：492 / 495
页数：3
相关论文
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