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	Performance of sub-pixel registration algorithms in digital image correlation
	Pan, Bing ; Xie, Hui-min ; Xu, Bo-qin ; Dai, Fu-long
	2010-05-07 ; 2010-05-07
关键词	digital image correlation sub-pixel curve-fitting gradient-based algorithm Newton-Raphson method DEFORMATION MEASUREMENTS SPECKLE CORRELATION SYSTEMATIC-ERRORS STRAIN DISPLACEMENT GRADIENT Engineering, Multidisciplinary Instruments & Instrumentation
中文摘要	Developments in digital image correlation in the last two decades have made it a popular and effective tool for full-field displacement and strain measurements in experimental mechanics. In digital image correlation, the use of the sub-pixel registration algorithm is regarded as the key technique to improve accuracy. Different types of sub-pixel registration algorithms have been developed. However, little quantitative research has been carried out to compare their performances. This paper investigates three types of the most commonly used sub-pixel displacement registration algorithms in terms of the registration accuracy and the computational efficiency using computer-simulated speckle images. A detailed examination of the performances of each algorithm reveals that the iterative spatial domain cross-correlation algorithm (Newton-Raphson method) is more accurate, but much slower than other algorithms, and is recommended for use in these applications.
语种	英语 ; 英语
出版者	IOP PUBLISHING LTD ; BRISTOL ; DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/16063]
专题	清华大学
推荐引用方式 GB/T 7714	Pan, Bing,Xie, Hui-min,Xu, Bo-qin,et al. Performance of sub-pixel registration algorithms in digital image correlation[J],2010, 2010.
APA	Pan, Bing,Xie, Hui-min,Xu, Bo-qin,&Dai, Fu-long.(2010).Performance of sub-pixel registration algorithms in digital image correlation..
MLA	Pan, Bing,et al."Performance of sub-pixel registration algorithms in digital image correlation".(2010).

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