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

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

doi:10.1109/ICIP.2015.7351419

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

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

Vice-Chancellery

Research output: Chapter in Book/Conference paper › Conference paper

11 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 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	https://doi.org/10.1109/ICIP.2015.7351419
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

Access to Document

10.1109/ICIP.2015.7351419

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title = "Digital image correlation for small strain measurement in deformable solids and geomechanical structures",

abstract = "{\textcopyright} 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.",

author = "N.V. Dinh and G.M. Hassan and Arcady Dyskin and Cara MacNish",

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doi = "10.1109/ICIP.2015.7351419",

language = "English",

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volume = "2015-December",

pages = "3324--3328",

booktitle = "2015 IEEE International Conference on Image Processing (ICIP)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2015 IEEE International Conference on Image Processing ; Conference date: 27-09-2015 Through 30-09-2015",

}

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 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

T2 - 2015 IEEE International Conference on Image Processing

Y2 - 27 September 2015 through 30 September 2015

ER -