DocumentCode
2542308
Title
A Novel Variational Segmentation Method for High-Noise Image
Author
Luo, Zhihong ; Feng, Guocan ; Yang, Guan
Author_Institution
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
4
Abstract
A novel variational method coupling denoising and segmentation is proposed. First, the high-noise images are denoised by the proposed denoising model, then they are segmented by the new segmentation model. And through multiplication operator splitting (MOS) numerical algorithm, the effective and stable results are obtained. Experimental results clearly demonstrate that the proposed method coupling denoising and segmentation has effectiveness and it has an advantage over CV model in high-noise image segmentation.
Keywords
image denoising; image segmentation; mathematical operators; variational techniques; high-noise image segmentation; image denoising; multiplication operator splitting; numerical algorithm; variational segmentation method; Image denoising; Image segmentation; Information science; Mathematics; Noise reduction; Speckle; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344063
Filename
5344063
Link To Document