Simultaneous Image Denoising and Curve Extraction by Tensor Voting

Simultaneous Image Denoising and Curve Extraction by Tensor Voting

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 r...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Xiao-fang Shao, Ling-wei Ye, Ming-juan Cai, Yong Wang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Aerospace engineering
Background noise
Clustering algorithms
Data mining
Image denoising
Iterative algorithms
Pixel
Tensile stress
Testing
Voting
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ISCSCT.2008.184