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Proceedings Paper

Color image segmentation using watershed and Nyström method based spectral clustering
Author(s): Xiaodong Bai; Zhiguo Cao; Zhenghong Yu; Hu Zhu
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Paper Abstract

Color image segmentation draws a lot of attention recently. In order to improve efficiency of spectral clustering in color image segmentation, a novel two-stage color image segmentation method is proposed. In the first stage, we use vector gradient approach to detect color image gradient information, and watershed transformation to get the pre-segmentation result. In the second stage, Nyström extension based spectral clustering is used to get the final result. To verify the proposed algorithm, it is applied to color images from the Berkeley Segmentation Dataset. Experiments show our method can bring promising results and reduce the runtime significantly.

Paper Details

Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030T (8 December 2011); doi: 10.1117/12.901908
Show Author Affiliations
Xiaodong Bai, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (China)
Zhenghong Yu, Huazhong Univ. of Science and Technology (China)
Hu Zhu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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