Abstract
In this paper, we propose a fast image segmentation method based on normalized cut. This method apply sim- ple linear iterative clustering super-pixel algorithm to obtain super-pixel regions, and then use affinity propagation cluster- ing to extract the representative pixels in each super-pixel regions, Finally, we apply normalized cut to obtain segmenta- tion results. At the end of the paper, Numerical experiments are presented to demonstrate the effectiveness of our pro- posed method.
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