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