Digital image correlation with gray gradient constraints: Application to spatially variant speckle images | |
Yuan, Yuan1; Zhan, Qin1; Huang, Jianyong1; Fang, Jing1; Xiong, Chunyang1 | |
刊名 | Optics and Lasers in Engineering
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2016 | |
卷号 | 77页码:85-91 |
关键词 | ENDMEMBER EXTRACTION ALGORITHMS INITIALIZATION NMF |
通讯作者 | Huang, Jianyong |
英文摘要 | Abstract As a carrier of local deformation information, speckle pattern inside a subset is usually crucial for surface displacement acquisition based upon a digital image correlation (DIC) method, since both accuracy and precision of DIC method are closely related to the amount of speckle information in a subset. Although some comprehensive theoretical frameworks have been developed to estimate the quality of local speckle patterns, it is still a great challenge how to effectively integrate the subset speckle information into the well-developed correlation criteria used for DIC. By means of a well-designed square window function, we here propose the concept of continuous subset in order to modulate subset size in a continuously derivable manner. Afterwards, we further develop a new constrained zero-normalized sum-of-squared differences (CZNSSD) criterion and construct the corresponding iterative algorithm, based on which the subset size involved can be automatically determined according to the necessary amount of speckle information. Numerical results of synthetic speckle images indicate that the set of algorithm can enhance the accuracy and precision of displacement measurement, especially for spatially variant speckle images. © 2015 Elsevier Ltd. |
学科主题 | Optics |
类目[WOS] | Optics |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:20153401184127 |
内容类型 | 期刊论文 |
源URL | [http://ir.radi.ac.cn/handle/183411/39446] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai, China 2. Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. College of Engineering, Peking University, Beijing, China 4. Department of Biomedical Engineering, Duke University, Durham 5.NC, United States |
推荐引用方式 GB/T 7714 | Yuan, Yuan,Zhan, Qin,Huang, Jianyong,et al. Digital image correlation with gray gradient constraints: Application to spatially variant speckle images[J]. Optics and Lasers in Engineering,2016,77:85-91. |
APA | Yuan, Yuan,Zhan, Qin,Huang, Jianyong,Fang, Jing,&Xiong, Chunyang.(2016).Digital image correlation with gray gradient constraints: Application to spatially variant speckle images.Optics and Lasers in Engineering,77,85-91. |
MLA | Yuan, Yuan,et al."Digital image correlation with gray gradient constraints: Application to spatially variant speckle images".Optics and Lasers in Engineering 77(2016):85-91. |
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