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