DocumentCode :
2123881
Title :
A novel matting algorithm applied to SAS image segmentation
Author :
Ding, Xuejie ; Liu, Jiyuan ; Xie, Kai ; Xing, Yuxiu ; Huang, Haining
Author_Institution :
Inst. of Acoust., Beijing, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
3056
Lastpage :
3058
Abstract :
Poisson´ equation has been used to mat in digital image widely, but there is less report using it in acoustic image, such as SAS image. We proposed a novel matting algorithm of Poisson´ equation applied to SAS image, in the proposed algorithm, the statistics of image were studied firstly and then Markov Random Field (MRF) theory was applied to initialized the image which can mark the interest regions, at last Poisson´ equation is used to mat in the region. The simulation results have proved the new algorithm could be used in the real SAS images.
Keywords :
Markov processes; Poisson equation; image segmentation; sonar imaging; MRF theory; Markov random field theory; Poisson equation; SAS image segmentation; acoustic image; matting algorithm; sound navigation and ranging; synthetic aperture sonar; Classification algorithms; Equations; Image segmentation; Mathematical model; Poisson equations; Shape; Synthetic aperture sonar; MRF theory; Poisson´; SAS image; equation; matting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6201879
Filename :
6201879
Link To Document :
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