Digital image correlation for small strain measurement in deformable solids and geomechanical structures

N.V. Dinh, G.M. Hassan, Arcady Dyskin, Cara MacNish

Research output: Chapter in Book/Conference paperConference paper

9 Citations (Scopus)

Abstract

© 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.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3324-3328
Volume2015-December
ISBN (Print)9781479983391
DOIs
Publication statusPublished - 2015
Event2015 IEEE International Conference on Image Processing - Quebec City, Canada
Duration: 27 Sep 201530 Sep 2015

Conference

Conference2015 IEEE International Conference on Image Processing
CountryCanada
CityQuebec City
Period27/09/1530/09/15

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Strain measurement
Color

Cite this

Dinh, N. V., Hassan, G. M., Dyskin, A., & MacNish, C. (2015). Digital image correlation for small strain measurement in deformable solids and geomechanical structures. In 2015 IEEE International Conference on Image Processing (ICIP) (Vol. 2015-December, pp. 3324-3328). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2015.7351419
Dinh, N.V. ; Hassan, G.M. ; Dyskin, Arcady ; MacNish, Cara. / Digital image correlation for small strain measurement in deformable solids and geomechanical structures. 2015 IEEE International Conference on Image Processing (ICIP). Vol. 2015-December IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 3324-3328
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Dinh, NV, Hassan, GM, Dyskin, A & MacNish, C 2015, Digital image correlation for small strain measurement in deformable solids and geomechanical structures. in 2015 IEEE International Conference on Image Processing (ICIP). vol. 2015-December, IEEE, Institute of Electrical and Electronics Engineers, pp. 3324-3328, 2015 IEEE International Conference on Image Processing, Quebec City, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351419

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 paperConference paper

TY - GEN

T1 - Digital image correlation for small strain measurement in deformable solids and geomechanical structures

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AU - Hassan, G.M.

AU - Dyskin, Arcady

AU - MacNish, Cara

PY - 2015

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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

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BT - 2015 IEEE International Conference on Image Processing (ICIP)

PB - IEEE, Institute of Electrical and Electronics Engineers

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Dinh NV, Hassan GM, Dyskin A, MacNish C. Digital image correlation for small strain measurement in deformable solids and geomechanical structures. In 2015 IEEE International Conference on Image Processing (ICIP). Vol. 2015-December. IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 3324-3328 https://doi.org/10.1109/ICIP.2015.7351419