Special Section on Quality Control by Artificial Vision

Unsupervised texture image segmentation using multilayer data condensation spectral clustering

[+] Author Affiliations
Hanqiang Liu

Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Mail box 224, No. 2 South TaiBai Road, Xi’an 710071, China

Licheng Jiao

Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Mail box 224, No. 2 South TaiBai Road, Xi’an 710071, China

Feng Zhao

Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Mail box 224, No. 2 South TaiBai Road, Xi’an 710071, China

J. Electron. Imaging. 19(3), 031203 (July 14, 2010). doi:10.1117/1.3455990
History: Received August 02, 2009; Revised January 05, 2010; Accepted January 25, 2010; Published July 14, 2010; Online July 14, 2010
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A novel unsupervised texture image segmentation using a multilayer data condensation spectral clustering algorithm is presented. First, the texture features of each image pixel are extracted by the stationary wavelet transform and a multilayer data condensation method is performed on this texture features data set to obtain a condensation subset. Second, the spectral clustering algorithm based on the manifold similarity measure is used to cluster the condensation subset. Finally, according to the clustering result of the condensation subset, the nearest-neighbor method is adopted to obtain the original image-segmentation result. In the experiments, we apply our method to solve the texture and synthetic aperture radar image segmentation and take self-tuning k-nearest-neighbor spectral clustering and Nyström methods for baseline comparisons. The experimental results show that the proposed method is more robust and effective for texture image segmentation.

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© 2010 SPIE and IS&T

Citation

Hanqiang Liu ; Licheng Jiao and Feng Zhao
"Unsupervised texture image segmentation using multilayer data condensation spectral clustering", J. Electron. Imaging. 19(3), 031203 (July 14, 2010). ; http://dx.doi.org/10.1117/1.3455990


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