Fuzzy Active Contours based SAR Image Segmentation

被引：0
|
作者：
Javed, Umer [1 ,3 ]
Riaz, Muhammad Mohsin [2 ]
Ghafoor, Abdul [2 ]
Cheema, Tanveer Ahmed [3 ]
机构：
[1] Int Islamic Univ, Fac Engn & Technol, Islamabad, Pakistan
[2] NUST, Coll Signals, Islamabad, Pakistan
[3] Isra Univ, Sch Engn & Appl Sci, Islamabad, Pakistan
来源：
2013 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS) | 2013年
关键词：
Image Segmentation; Synthetic Aperture Radar; Active Contours; Fuzzy Logic; SCALABLE FITTING ENERGY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A fuzzy logic and active contour model based image segmentation for synthetic aperture radar images is proposed. Fuzzy inference engine is used to assign weights to pixels of the level set function based on local entropy and local variance. Higher weights are assigned to pixels having less local entropy and less local variance. Simulation show that the proposed scheme improves the segmentation results in terms of efficiency and accuracy.
引用
收藏
页码：17 / 21
页数：5
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