Zhuozhao Xia
ABSTRACT
This study aims to explore optimization methods for superpixel segmentation algorithms in large-scale image processing. Due to the significant time consumption of existing superpixel segmentation algorithms when dealing with large-scale image data, this study focuses on parallel optimization of the SLIC superpixel segmentation algorithm on the new-generation Sunway manycore processor SW26010-Pro. The research analyzes the characteristics of the SW26010-Pro heterogeneous manycore processor, existing superpixel image segmentation algorithms, and the SLIC superpixel segmentation algorithm. The study primarily analyzes hot-spot functions and improves the algorithm's running speed by 6-7 times through optimizing processes such as RGB-to-CIELab color space conversion, cluster updating, and seed point updating. It effectively presents a parallel execution scheme for the SLIC superpixel algorithm on the SW26010-Pro.
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Digital Library
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Index Terms
- Parallel Optimization of SLIC Algorithm for New-Generation Sunway Processors
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