Abstract
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Image Processing (ICIP) |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 3324-3328 |
| Volume | 2015-December |
| ISBN (Print) | 9781479983391 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 2015 IEEE International Conference on Image Processing - Quebec City, Canada Duration: 27 Sep 2015 → 30 Sep 2015 |
Conference
| Conference | 2015 IEEE International Conference on Image Processing |
|---|---|
| Country | Canada |
| City | Quebec City |
| Period | 27/09/15 → 30/09/15 |
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Digital image correlation for small strain measurement in deformable solids and geomechanical structures. / Dinh, N.V.; Hassan, G.M.; Dyskin, Arcady; MacNish, Cara.
2015 IEEE International Conference on Image Processing (ICIP). Vol. 2015-December IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 3324-3328.Research output: Chapter in Book/Conference paper › Conference paper
TY - GEN
T1 - Digital image correlation for small strain measurement in deformable solids and geomechanical structures
AU - Dinh, N.V.
AU - Hassan, G.M.
AU - Dyskin, Arcady
AU - MacNish, Cara
PY - 2015
Y1 - 2015
N2 - © 2015 IEEE. Digital image correlation (DIC) is a well-known contact-less technique offering highly accurate full-field deformation measurement using grayscale images. The practical implementation of DIC is still facing many challenges, especially limitations of accuracy in measuring small displacement gradients for solids in geosciences and biomedi-cal engineering. In this paper, we introduce a novel approach in which color images are employed to enhance the performance of DIC. A complete framework for Color DIC has been proposed and tested. The results show that Color DIC performs significantly better than grayscale DIC for measurement of small strains by a factor of 2.
AB - © 2015 IEEE. Digital image correlation (DIC) is a well-known contact-less technique offering highly accurate full-field deformation measurement using grayscale images. The practical implementation of DIC is still facing many challenges, especially limitations of accuracy in measuring small displacement gradients for solids in geosciences and biomedi-cal engineering. In this paper, we introduce a novel approach in which color images are employed to enhance the performance of DIC. A complete framework for Color DIC has been proposed and tested. The results show that Color DIC performs significantly better than grayscale DIC for measurement of small strains by a factor of 2.
U2 - 10.1109/ICIP.2015.7351419
DO - 10.1109/ICIP.2015.7351419
M3 - Conference paper
SN - 9781479983391
VL - 2015-December
SP - 3324
EP - 3328
BT - 2015 IEEE International Conference on Image Processing (ICIP)
PB - IEEE, Institute of Electrical and Electronics Engineers
ER -