Study of optimal subset size in digital image correlation of speckle pattern images

2007 ◽  
Vol 45 (9) ◽  
pp. 967-974 ◽  
Author(s):  
Sun Yaofeng ◽  
John H.L. Pang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Speckle Pattern ◽  
Image Correlation ◽  
Subset Size ◽  
Optimal Subset

Study on Effect of Subset Size on Digital Image Correlation with a New Method

2014 ◽  
Vol 34 (12) ◽  
pp. 1212005
Author(s):  
梁振宁 Liang Zhenning ◽  
印波 Yin Bo ◽  
王石刚 Wang Shigang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
New Method ◽  
Subset Size

Digital image correlation involves an inverse problem: A regularization scheme based on subset size constraint

2016 ◽  
Vol 81 ◽  
pp. 54-62 ◽  
Author(s):  
Qin Zhan ◽  
Yuan Yuan ◽  
Xiangtao Fan ◽  
Jianyong Huang ◽  
Chunyang Xiong ◽  
...  
Keyword(s):  
Inverse Problem ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Subset Size ◽  
Regularization Scheme

scholarly journals Speckle pattern processing by digital image correlation

2016 ◽  
Vol 48 ◽  
pp. 04003 ◽  
Author(s):  
Fedor Gubarev ◽  
Lin Li ◽  
Miron Klenovskii ◽  
Anatoliy Glotov
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Speckle Pattern ◽  
Image Correlation ◽  
Pattern Processing

Development of the Auto Mesh Generation Program for a Digital Image Correlation Method

2011 ◽  
Vol 462-463 ◽  
pp. 112-117
Author(s):  
Koji Tomita ◽  
Kenji Machida ◽  
Zu Guang Zhang
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Mesh Generation ◽  
Speckle Pattern ◽  
Correlation Method ◽  
Image Correlation ◽  
The Finite Element Method ◽  
Matching Method ◽  
Digital Image Correlation Method ◽  
Complicated Configuration

Since the method of performing displacement measurement and stress assessment of material by non-contact comes to capture the spotlight, study of the digital image correlation method which adopted the pattern-matching method for asking for displacement by deformation of a surface speckle pattern has been advanced. When the configuration for an analysis was settled in the rectangle and the square region, the whole-field mesh generation was also possible, but when it became a complicated configuration, the background etc. entered and mesh generation was affected. In order to solve such a problem, even if the object for an analysis was a complicated configuration, it aimed at generating a mesh automatically and obtaining appropriate analysis output in the displacement analysis and stress analysis using the generated mesh. In addition, the validity of the result was verified by the comparison with the finite element method. By this study, the convenience and availability of the digital image correlation method was improved remarkably, and it became clear to become a leading tool in health monitoring.

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