Digital image correlation search method based on genetic algorithm

Hua Chen; Dong Ye; Gang Chen; Ren Sheng Che

Digital image correlation search method based on genetic algorithm

Hua Chen^*
, Dong Ye
, Gang Chen
, Ren Sheng Che

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

28 Scopus citations

Abstract

A new search method based on genetic algorithm is proposed, and the experiment is done. The experiment results indicate that the stand deviation of u is 0.022 pixel, and the stand deviation of v is 0.032 pixel. The method can meet the requirements of nonlinear and multi-peak global optimization in the digital image correlation with high precision and rapid speed, and can avoid the initial value selection, which is better than the conventional search methods.

Original language	English
Pages (from-to)	1633-1637
Number of pages	5
Journal	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume	15
Issue number	10
State	Published - Oct 2007
Externally published	Yes

Keywords

Deformation
Digital image correlation method
Genetic algorithm
Optimization

Cite this

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title = "Digital image correlation search method based on genetic algorithm",

abstract = "A new search method based on genetic algorithm is proposed, and the experiment is done. The experiment results indicate that the stand deviation of u is 0.022 pixel, and the stand deviation of v is 0.032 pixel. The method can meet the requirements of nonlinear and multi-peak global optimization in the digital image correlation with high precision and rapid speed, and can avoid the initial value selection, which is better than the conventional search methods.",

keywords = "Deformation, Digital image correlation method, Genetic algorithm, Optimization",

author = "Hua Chen and Dong Ye and Gang Chen and Che, \{Ren Sheng\}",

year = "2007",

month = oct,

language = "英语",

volume = "15",

pages = "1633--1637",

journal = "Guangxue Jingmi Gongcheng/Optics and Precision Engineering",

issn = "1004-924X",

publisher = "Chinese Academy of Sciences",

number = "10",

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TY - JOUR

T1 - Digital image correlation search method based on genetic algorithm

AU - Chen, Hua

AU - Ye, Dong

AU - Chen, Gang

AU - Che, Ren Sheng

PY - 2007/10

Y1 - 2007/10

N2 - A new search method based on genetic algorithm is proposed, and the experiment is done. The experiment results indicate that the stand deviation of u is 0.022 pixel, and the stand deviation of v is 0.032 pixel. The method can meet the requirements of nonlinear and multi-peak global optimization in the digital image correlation with high precision and rapid speed, and can avoid the initial value selection, which is better than the conventional search methods.

AB - A new search method based on genetic algorithm is proposed, and the experiment is done. The experiment results indicate that the stand deviation of u is 0.022 pixel, and the stand deviation of v is 0.032 pixel. The method can meet the requirements of nonlinear and multi-peak global optimization in the digital image correlation with high precision and rapid speed, and can avoid the initial value selection, which is better than the conventional search methods.

KW - Deformation

KW - Digital image correlation method

KW - Genetic algorithm

KW - Optimization

UR - https://www.scopus.com/pages/publications/35949003526

M3 - 文章

AN - SCOPUS:35949003526

SN - 1004-924X

VL - 15

SP - 1633

EP - 1637

JO - Guangxue Jingmi Gongcheng/Optics and Precision Engineering

JF - Guangxue Jingmi Gongcheng/Optics and Precision Engineering

IS - 10

ER -

Digital image correlation search method based on genetic algorithm

Abstract

Keywords

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