Color image segmentation using watershed and Nyström method based spectral clustering

Xiaodong Bai; Zhiguo Cao; Zhenghong Yu; Hu Zhu

doi:10.1117/12.901908

8 December 2011 Color image segmentation using watershed and Nyström method based spectral clustering

Xiaodong Bai, Zhiguo Cao, Zhenghong Yu, Hu Zhu

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030T (2011) https://doi.org/10.1117/12.901908
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Xiaodong Bai, Zhiguo Cao, Zhenghong Yu, and Hu Zhu "Color image segmentation using watershed and Nyström method based spectral clustering", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030T (8 December 2011); https://doi.org/10.1117/12.901908

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