Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry
When a continuously deforming object is measured by electronic...
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sg-ntu-dr.10356-919182020-09-26T22:17:56Z Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry Fu, Yu Tay, Cho Jui Quan, Chenggen Chen, Lujie Temasek Laboratories DRNTU::Science::Physics::Optics and light When a continuously deforming object is measured by electronic speckle pattern interferometry (ESPI), the speckle pattern recorded on a camera sensor changes constantly. These time-dependent speckle patterns would provide the deformation history of the object. Various objects are applied with both linearly and nonlinearly varying loads and speckle patterns are captured using a high-speed CCD camera. The temporal intensity variation of each pixel on the recorded images is analyzed by a robust mathematical tool—Morlet wavelet transform instead of conventional Fourier transform. The transient velocity and displacement of each point can be retrieved without the necessity of the temporal or spatial phase unwrapping process. The displacements obtained are compared with those from a temporal Fourier transform, and the results show that the wavelet transform minimizes the influence of noise and provides better results for a linearly varying load. System error in the wavelet analysis for nonlinear load is also discussed. Published version 2010-11-23T09:13:11Z 2019-12-06T18:14:07Z 2010-11-23T09:13:11Z 2019-12-06T18:14:07Z 2004 2004 Journal Article Fu, Y., Tay, C. J., Quan, C., & Chen, L. (2004). Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry. Optical Engineering, 43(11), 2780-2787. 0091-3286 https://hdl.handle.net/10356/91918 http://hdl.handle.net/10220/6474 10.1117/1.1801472 en Optical Engineering Copyright 2004 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. 8 p. application/pdf |
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DRNTU::Science::Physics::Optics and light Fu, Yu Tay, Cho Jui Quan, Chenggen Chen, Lujie Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
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Temasek Laboratories |
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Temasek Laboratories Fu, Yu Tay, Cho Jui Quan, Chenggen Chen, Lujie |
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Article |
author |
Fu, Yu Tay, Cho Jui Quan, Chenggen Chen, Lujie |
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Fu, Yu |
title |
Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
title_short |
Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
title_full |
Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
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Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
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Temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
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temporal wavelet analysis for deformation and velocity measurement in speckle interferometry |
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2010 |
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https://hdl.handle.net/10356/91918 http://hdl.handle.net/10220/6474 |
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description |
When a continuously deforming object is measured by electronic
speckle pattern interferometry (ESPI), the speckle pattern recorded
on a camera sensor changes constantly. These time-dependent
speckle patterns would provide the deformation history of the object.
Various objects are applied with both linearly and nonlinearly varying
loads and speckle patterns are captured using a high-speed CCD camera.
The temporal intensity variation of each pixel on the recorded images
is analyzed by a robust mathematical tool—Morlet wavelet transform
instead of conventional Fourier transform. The transient velocity
and displacement of each point can be retrieved without the necessity of
the temporal or spatial phase unwrapping process. The displacements
obtained are compared with those from a temporal Fourier transform,
and the results show that the wavelet transform minimizes the influence
of noise and provides better results for a linearly varying load. System
error in the wavelet analysis for nonlinear load is also discussed. |