OPT OpenIR  > 瞬态光学研究室
Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy
Zhou, Meiling; Min, Junwei; Yao, Baoli; Yu, Xianghua; Lei, Ming; Yan, Shaohui; Yang, Yanlong; Dan, Dan
作者部门瞬态光学技术国家重点实验室
2015-01-19
发表期刊Journal of Modern Optics
ISSN09500340
卷号62期号:2页码:110-115
产权排序1
摘要Conventional quality-guided (QG) phase unwrapping algorithm is hard to be applied to digital holographic microscopy because of the long execution time. In this paper, we present a threshold automatic selection hybrid phase unwrapping algorithm that combines the existing QG algorithm and the flood-filled (FF) algorithm to solve this problem. The original wrapped phase map is divided into high- and low-quality sub-maps by selecting a threshold automatically, and then the FF and QG unwrapping algorithms are used in each level to unwrap the phase, respectively. The feasibility of the proposed method is proved by experimental results, and the execution speed is shown to be much faster than that of the original QG unwrapping 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.opt.ac.cn/handle/181661/22654
专题瞬态光学研究室
推荐引用方式
GB/T 7714
Zhou, Meiling,Min, Junwei,Yao, Baoli,et al. Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy[J]. Journal of Modern Optics,2015,62(2):110-115.
APA Zhou, Meiling.,Min, Junwei.,Yao, Baoli.,Yu, Xianghua.,Lei, Ming.,...&Dan, Dan.(2015).Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy.Journal of Modern Optics,62(2),110-115.
MLA Zhou, Meiling,et al."Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy".Journal of Modern Optics 62.2(2015):110-115.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Threshold automatic (972KB) 限制开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhou, Meiling]的文章
[Min, Junwei]的文章
[Yao, Baoli]的文章
百度学术
百度学术中相似的文章
[Zhou, Meiling]的文章
[Min, Junwei]的文章
[Yao, Baoli]的文章
必应学术
必应学术中相似的文章
[Zhou, Meiling]的文章
[Min, Junwei]的文章
[Yao, Baoli]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。