Image reconstruction from incomplete data and its applications in experimental mechanics

Y. H. Huang; Y. Y. Hung; X. Y. He; L. Liu

doi:10.4028/0-87849-415-4.83

Image reconstruction from incomplete data and its applications in experimental mechanics

Y. H. Huang
, Y. Y. Hung
, X. Y. He
, L. Liu

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

1 Citation (Scopus)

Abstract

In the field of experimental mechanics, there exist some circumstances when only data at the boundary can be obtained while the internal data are unavailable, or when some data are missed due to shadow, illumination saturation and other reasons. Thus it would be helpful if a reasonable estimation of the unavailable or missed data can be obtained. In this study, an algorithm is developed to reconstruct the missed data from the existing ones by generating a series of equations about the missed data and solving for an optimal solution using least-squares approach. Results based on both simulation data and real incomplete experimental data obtained by shearography and fringe projection show the usefulness and potential of the algorithm for experimental mechanics applications.
© 2006 Trans Tech Publications Ltd, Switzerland

Original language	English
Pages (from-to)	83-86
Journal	Key Engineering Materials
Volume	326-328 I
DOIs	https://doi.org/10.4028/0-87849-415-4.83
Publication status	Published - 2006

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Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Image interpolation
Image reconstruction
Incomplete data
Internal displacement measurement
Least squares method

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10.4028/0-87849-415-4.83

https://doi.org/10.4028/www.scientific.net/KEM.326-328.83

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title = "Image reconstruction from incomplete data and its applications in experimental mechanics",

abstract = "In the field of experimental mechanics, there exist some circumstances when only data at the boundary can be obtained while the internal data are unavailable, or when some data are missed due to shadow, illumination saturation and other reasons. Thus it would be helpful if a reasonable estimation of the unavailable or missed data can be obtained. In this study, an algorithm is developed to reconstruct the missed data from the existing ones by generating a series of equations about the missed data and solving for an optimal solution using least-squares approach. Results based on both simulation data and real incomplete experimental data obtained by shearography and fringe projection show the usefulness and potential of the algorithm for experimental mechanics applications. {\textcopyright} 2006 Trans Tech Publications Ltd, Switzerland",

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T1 - Image reconstruction from incomplete data and its applications in experimental mechanics

AU - Huang, Y. H.

AU - Hung, Y. Y.

AU - He, X. Y.

AU - Liu, L.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2006

Y1 - 2006

N2 - In the field of experimental mechanics, there exist some circumstances when only data at the boundary can be obtained while the internal data are unavailable, or when some data are missed due to shadow, illumination saturation and other reasons. Thus it would be helpful if a reasonable estimation of the unavailable or missed data can be obtained. In this study, an algorithm is developed to reconstruct the missed data from the existing ones by generating a series of equations about the missed data and solving for an optimal solution using least-squares approach. Results based on both simulation data and real incomplete experimental data obtained by shearography and fringe projection show the usefulness and potential of the algorithm for experimental mechanics applications. © 2006 Trans Tech Publications Ltd, Switzerland

AB - In the field of experimental mechanics, there exist some circumstances when only data at the boundary can be obtained while the internal data are unavailable, or when some data are missed due to shadow, illumination saturation and other reasons. Thus it would be helpful if a reasonable estimation of the unavailable or missed data can be obtained. In this study, an algorithm is developed to reconstruct the missed data from the existing ones by generating a series of equations about the missed data and solving for an optimal solution using least-squares approach. Results based on both simulation data and real incomplete experimental data obtained by shearography and fringe projection show the usefulness and potential of the algorithm for experimental mechanics applications. © 2006 Trans Tech Publications Ltd, Switzerland

KW - Image interpolation

KW - Image reconstruction

KW - Incomplete data

KW - Internal displacement measurement

KW - Least squares method

UR - https://www.scopus.com/pages/publications/33751550260

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33751550260&origin=recordpage

U2 - 10.4028/0-87849-415-4.83

DO - 10.4028/0-87849-415-4.83

M3 - RGC 21 - Publication in refereed journal

SN - 1013-9826

VL - 326-328 I

SP - 83

EP - 86

JO - Key Engineering Materials

JF - Key Engineering Materials

ER -

Image reconstruction from incomplete data and its applications in experimental mechanics

Abstract

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Research Keywords

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