Digital Speckle Correlation Method Based on Improved Curved Surface Fitting Method

被引：5
|
作者：
Li Kaiqiang [1 ,2 ,3 ,4 ]
Zhu Dan [1 ,2 ,3 ,4 ]
Tong Xinxin [1 ,3 ,4 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Liaoning, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100019, Peoples R China
[3] Chinese Acad Sci, Key Lab Optoelect Informat Proc, Shenyang 110016, Liaoning, Peoples R China
[4] Liaoning Prov Key Lab Image Understanding & Comp, Shenyang 110016, Liaoning, Peoples R China
来源：
LASER & OPTOELECTRONICS PROGRESS | 2018年 / 55卷 / 05期
关键词：
image processing; digital speckle correlation method; curved surface fitting; sub-pixel; photoelectric measurement;
D O I：
10.3788/LOP55.051001
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The digital speckle correlation method based on bivariate quadratic polynomial curved surface fitting method for precise sub-pixel localization has the advantages of simple calculation and high efficiency. The original method usually selects nine pixels around the integer pixel for surface fitting. We use the nearest six pixels around the integer pixel and the correlation coefficient to directly solve the bivariate quadratic polynomial through analyzing the possible improvement schemes of surface fitting. The speckle patterns arc generated by computer simulation, as well as the rigid body translation experiments and uniaxial tension experiments arc simulated respectively. Experimental results show that the improved scheme has the advantages of high computational efficiency and small computational error.
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页数：7
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