Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

Tao Hua; Huimin Xie; Simon Wang; Zhenxing Hu; Pengwan Chen; Qingming Zhang

doi:10.1016/j.optlastec.2010.04.010

Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

Tao Hua, Huimin Xie^*, Simon Wang, Zhenxing Hu, Pengwan Chen, Qingming Zhang

^*Corresponding author for this work

School of Material Science and Engineering

Research output: Contribution to journal › Article › peer-review

158 Citations (Scopus)

Abstract

The quality of the speckle pattern used in digital image correlation is studied in this paper using a parameter called mean subset fluctuation. A numerical translation test is performed on four speckle patterns captured from actual experiments. The translated images are analyzed and the results show that the mean bias error of the calculated displacement is linear with the value of the mean subset fluctuation. The results from the numerical calculation illustrate that speckle size and density have an influence on the quality of speckle pattern.

Original language	English
Pages (from-to)	9-13
Number of pages	5
Journal	Optics and Laser Technology
Volume	43
Issue number	1
DOIs	https://doi.org/10.1016/j.optlastec.2010.04.010
Publication status	Published - Feb 2011

Keywords

Digital image correlation
Mean subset fluctuation
Speckle pattern

Access to Document

10.1016/j.optlastec.2010.04.010

Cite this

@article{2644a8138b254af2a3f2083f7be08f96,

title = "Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation",

abstract = "The quality of the speckle pattern used in digital image correlation is studied in this paper using a parameter called mean subset fluctuation. A numerical translation test is performed on four speckle patterns captured from actual experiments. The translated images are analyzed and the results show that the mean bias error of the calculated displacement is linear with the value of the mean subset fluctuation. The results from the numerical calculation illustrate that speckle size and density have an influence on the quality of speckle pattern.",

keywords = "Digital image correlation, Mean subset fluctuation, Speckle pattern",

author = "Tao Hua and Huimin Xie and Simon Wang and Zhenxing Hu and Pengwan Chen and Qingming Zhang",

year = "2011",

month = feb,

doi = "10.1016/j.optlastec.2010.04.010",

language = "English",

volume = "43",

pages = "9--13",

journal = "Optics and Laser Technology",

issn = "0030-3992",

publisher = "Elsevier Ltd.",

number = "1",

}

TY - JOUR

T1 - Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

AU - Hua, Tao

AU - Xie, Huimin

AU - Wang, Simon

AU - Hu, Zhenxing

AU - Chen, Pengwan

AU - Zhang, Qingming

PY - 2011/2

Y1 - 2011/2

N2 - The quality of the speckle pattern used in digital image correlation is studied in this paper using a parameter called mean subset fluctuation. A numerical translation test is performed on four speckle patterns captured from actual experiments. The translated images are analyzed and the results show that the mean bias error of the calculated displacement is linear with the value of the mean subset fluctuation. The results from the numerical calculation illustrate that speckle size and density have an influence on the quality of speckle pattern.

AB - The quality of the speckle pattern used in digital image correlation is studied in this paper using a parameter called mean subset fluctuation. A numerical translation test is performed on four speckle patterns captured from actual experiments. The translated images are analyzed and the results show that the mean bias error of the calculated displacement is linear with the value of the mean subset fluctuation. The results from the numerical calculation illustrate that speckle size and density have an influence on the quality of speckle pattern.

KW - Digital image correlation

KW - Mean subset fluctuation

KW - Speckle pattern

UR - http://www.scopus.com/inward/record.url?scp=77955508875&partnerID=8YFLogxK

U2 - 10.1016/j.optlastec.2010.04.010

DO - 10.1016/j.optlastec.2010.04.010

M3 - Article

AN - SCOPUS:77955508875

SN - 0030-3992

VL - 43

SP - 9

EP - 13

JO - Optics and Laser Technology

JF - Optics and Laser Technology

IS - 1

ER -

Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this