DocumentCode :
3414413
Title :
Segmentation process for SAR imagery based on graph cuts algorithm
Author :
Tao, Wu ; Jianlin, Ding ; Junwei, Liu ; Xi, Chen ; Xiangwei, Ruan ; Lei, Niu
Author_Institution :
East China Res. Inst. of Electron. Eng., Hefei, China
Volume :
2
fYear :
2011
fDate :
24-27 Oct. 2011
Firstpage :
1627
Lastpage :
1630
Abstract :
This paper proposes a method that comes from the minimum cut problem in network flow theory to minimize the MRF energy of posteriori probability. Then maximum flow or minimum cut algorithm is used to deal with MRF segmentation. Experiments on SAR images prove that the proposed method has better accuracy and faster efficiency than standard algorithms.
Keywords :
graph theory; image segmentation; radar imaging; synthetic aperture radar; MRF energy; SAR imagery; graph cuts algorithm; network flow theory; posteriori probability; segmentation process; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Image edge detection; Image segmentation; Labeling; Minimization; Graph cuts; MRF; SAR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
Type :
conf
DOI :
10.1109/CIE-Radar.2011.6159877
Filename :
6159877
Link To Document :
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