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 :
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