Enhancing Micro-Scale Displacement Measurements Using Super Resolution Digital Image Correlation (Sr-DIC)

2021 ◽  
Author(s):  
Robert Hansen ◽  
Daniel Waldram ◽  
Thinh Thai ◽  
Ryan Berke
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Super Resolution ◽  
Image Correlation ◽  
Micro Scale ◽  
Displacement Measurements

scholarly journals Super Resolution Digital Image Correlation (SR-DIC): an Alternative to Image Stitching at High Magnifications

2021 ◽  
Author(s):  
R. S. Hansen ◽  
D. W. Waldram ◽  
T. Q. Thai ◽  
R. B. Berke
Keyword(s):  
High Resolution ◽  
Digital Image Correlation ◽  
Spatial Resolution ◽  
Digital Image ◽  
Super Resolution ◽  
Image Correlation ◽  
Low Resolution ◽  
Strain Measurements ◽  
Resolution Image ◽  
High Resolution Image

Abstract Background High-resolution Digital Image Correlation (DIC) measurements have previously been produced by stitching of neighboring images, which often requires short working distances. Separately, the image processing community has developed super resolution (SR) imaging techniques, which improve resolution by combining multiple overlapping images. Objective This work investigates the novel pairing of super resolution with digital image correlation, as an alternative method to produce high-resolution full-field strain measurements. Methods First, an image reconstruction test is performed, comparing the ability of three previously published SR algorithms to replicate a high-resolution image. Second, an applied translation is compared against DIC measurement using both low- and super-resolution images. Third, a ring sample is mechanically deformed and DIC strain measurements from low- and super-resolution images are compared. Results SR measurements show improvements compared to low-resolution images, although they do not perfectly replicate the high-resolution image. SR-DIC demonstrates reduced error and improved confidence in measuring rigid body translation when compared to low resolution alternatives, and it also shows improvement in spatial resolution for strain measurements of ring deformation. Conclusions Super resolution imaging can be effectively paired with Digital Image Correlation, offering improved spatial resolution, reduced error, and increased measurement confidence.

Full-field strain measurements at the micro-scale in fiber-reinforced composites using digital image correlation

2016 ◽  
Vol 140 ◽  
pp. 192-201 ◽  
Author(s):  
Mahoor Mehdikhani ◽  
Mohammadali Aravand ◽  
Baris Sabuncuoglu ◽  
Michaël G. Callens ◽  
Stepan V. Lomov ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Fiber Reinforced Composites ◽  
Field Strain ◽  
Reinforced Composites ◽  
Fiber Reinforced ◽  
Full Field ◽  
Strain Measurements ◽  
Micro Scale

Improved Climbing Algorithm for Digital Image Correlation Displacement Measurements

2020 ◽  
Vol 57 (2) ◽  
pp. 021506
Author(s):  
叶沛 Ye Pei ◽  
张梅 Zhang Mei ◽  
马万龙 Ma Wanlong ◽  
朱天天 Zhu Tiantian ◽  
李桂华 Li Guihua
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Image Correlation ◽  
Displacement Measurements

scholarly journals Characterisation of Full-Field Deformation Behaviour Using Digital Imaging Techniques

2010 ◽  
Vol 24-25 ◽  
pp. 141-146 ◽  
Author(s):  
Y.H. Tai ◽  
M. Zanganeh ◽  
D. Asquith ◽  
J.R. Yates
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Deformation Behaviour ◽  
Detection Algorithm ◽  
Image Correlation ◽  
Edge Detection Algorithm ◽  
Full Field ◽  
Displacement Measurements

Optical techniques for displacement measurements have become more common in recent years. The current preferred technique is digital image correlation (DIC) which works very well but has limitations for measuring diametral contractions in cylindrical specimens using a standard 3D system. To overcome the limitations of using either a diametral clip gauge or standard 3D DIC, a method has been developed for measuring diametral contractions simultaneously in two directions using a standard 3D DIC system in conjunction with an edge detection algorithm. Results have shown the method to work well.

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