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Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization
Chen Y. W.; Miao E. L.; Sui Y. X.; Yang H. J.
2014
发表期刊Journal of the Optical Society of Korea
ISSNISBN/1226-4776
卷号18期号:4页码:341-344
摘要This study proposes a modified sub-aperture stitching algorithm, which uses an image sharpening algorithm and particle swarm optimization to improve the stitching accuracy. In sub-aperture stitching interferometers with high positional accuracy, the high-frequency components of measurements are more important than the low-frequency components when compensating for position errors using a sub-aperture stitching algorithm. Thus we use image sharpening algorithms to strengthen the high-frequency components of measurements. When using image sharpening algorithms, sub-aperture stitching algorithms based on the least-squares method easily become trapped at locally optimal solutions. However, particle swarm optimization is less likely to become trapped at a locally optimal solution, thus we utilized this method to develop a more robust algorithm. The results of simulations showed that our algorithm compensated for position errors more effectively than the existing algorithm. An experimental comparison with full aperture-testing results demonstrated the validity of the new algorithm.
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44167
专题中科院长春光机所知识产出
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Chen Y. W.,Miao E. L.,Sui Y. X.,et al. Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization[J]. Journal of the Optical Society of Korea,2014,18(4):341-344.
APA Chen Y. W.,Miao E. L.,Sui Y. X.,&Yang H. J..(2014).Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization.Journal of the Optical Society of Korea,18(4),341-344.
MLA Chen Y. W.,et al."Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization".Journal of the Optical Society of Korea 18.4(2014):341-344.
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