Paper 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.

  Info
Periodical
Key Engineering Materials (Volumes 326-328)
Edited by
Soon-Bok Lee and Yun-Jae Kim
Pages
83-86
DOI
10.4028/www.scientific.net/KEM.326-328.83
Citation
Y.H. Huang, Y.Y. Hung, X.Y. He, L. Liu, "Image Reconstruction from Incomplete Data and Its Applications in Experimental Mechanics", Key Engineering Materials, Vols. 326-328, pp. 83-86, 2006
Online since
December 2006
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Price
$32.00
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