Modified Sub-aperture Stitching Algorithm using Image Sharpening and Particle Swarm Optimization

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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.
刊名	Journal of the Optical Society of Korea
	2014
卷号	18 期号:4 页码:341-344
ISSN号	ISBN/1226-4776
英文摘要	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
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/44167]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	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.