Digital image correlation with gray gradient constraints: Application to   spatially variant speckle images

doi:10.1016/j.optlaseng.2015.07.012

CORC > 北京大学 > 工学院

	Digital image correlation with gray gradient constraints: Application to spatially variant speckle images
	Yuan, Yuan ; Zhan, Qin ; Huang, Jianyong ; Fang, Jing ; Xiong, Chunyang
刊名	OPTICS AND LASERS IN ENGINEERING
	2016
关键词	Digital image correlation Subset size Window function Speckle pattern Deformation measurement ACCURATE DISPLACEMENT MEASUREMENT ERROR REDUCTION DEFORMATION MEASUREMENT MEAN INTENSITY ALGORITHM PATTERNS SCHEME
DOI	10.1016/j.optlaseng.2015.07.012
英文摘要	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. (c) 2015 Elsevier Ltd. All rights reserved.; National Basic Research Program of China [2013CB933702, 2011CB809106]; National Natural Science Foundation of China [11002003, 11472013, 41201401, 51078228]; Preferred Foundation of Director of Institute of Remote Sensing & Digital Earth, Chinese Academy of Sciences, China [Y3SJ7500CX]; Research Innovation Projects of Shanghai Postgraduate [20131129]; SCI(E); EI; ARTICLE; hjypku@gmail.com; cyxiong@pku.edu.cn; 85-91; 77
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/422605]
专题	工学院
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.
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.
MLA	Yuan, Yuan,et al."Digital image correlation with gray gradient constraints: Application to spatially variant speckle images".OPTICS AND LASERS IN ENGINEERING (2016).