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- W4285302275 abstract "As an instructive work to generate satisfactory superpixels, simple linear iterative clustering (SLIC), has become fundamental and popular in various computer vision tasks. In this work, the algorithm is reconsidered, and an integrated framework is proposed to further improve the running speed and segmentation performance. In the first stage, a fast convergence strategy for clustering is presented on SLIC to redistribute the seeds efficiently. This is done to initialize a set of clustering centers that is fairly representative of local information on the image plane. Then, a follow-up work of SLIC termed simple non-iterative clustering (SNIC) is utilized to process more accurate segmentation without any post-processing to enforce connectivity. Experimental results show that the framework could generate a synergetic effect and performs better than previous superpixel algorithms in a limited computational time." @default.
- W4285302275 created "2022-07-14" @default.
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- W4285302275 date "2022-01-01" @default.
- W4285302275 modified "2023-10-16" @default.
- W4285302275 title "Simple Linear Iterative Clustering with Efficiency" @default.
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- W4285302275 doi "https://doi.org/10.1007/978-981-19-1057-9_11" @default.
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