Proceedings Paper
Color image segmentation using watershed and Nyström method based spectral clustering| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)
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)
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)
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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