DocumentCode
2093432
Title
Simultaneous Image Denoising and Curve Extraction by Tensor Voting
Author
Shao, Xiao-fang ; Ye, Ling-wei ; Cai, Ming-juan ; Wang, Yong
Author_Institution
Naval Aeronaut. Eng. Inst., Qingdao, China
Volume
1
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
536
Lastpage
538
Abstract
In this paper we propose a method that simultaneously performs image denoising and salient curve extraction among random dot patterns using tensor voting. Given an image containing random dots, the pixels are first converted into a set of tokens to be preprocessed by tensor voting, then the voting results are binarized and thinned by a morphological filter to extract the salient curves. At last the method is tested on several real images.
Keywords
curve fitting; edge detection; filtering theory; image denoising; image thinning; mathematical morphology; tensors; curve extraction; edge thinning; image denoising; morphological filter; random dot pattern; tensor voting; Aerospace engineering; Background noise; Clustering algorithms; Data mining; Image denoising; Iterative algorithms; Pixel; Tensile stress; Testing; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3746-7
Type
conf
DOI
10.1109/ISCSCT.2008.184
Filename
4731485
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