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Proceedings Paper

Study of 3D profilometry by using wavelet filter
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Paper Abstract

3-D shape reconstructions by using Fourier transform profilometry via a first-order derivative of Gaussian and Morlet wavelet are experimentally studied. The advantage of using the wavelet filters is that they have the same shape in the spatial and the spectra domains. Experimental results show that Morlet wavelet gives better shape reconstruction, because its transfer function is well localized.

Paper Details

Date Published: 5 March 2018
PDF: 6 pages
Proc. SPIE 10714, Third International Conference on Photonics Solutions (ICPS2017), 107140J (5 March 2018); doi: 10.1117/12.2299809
Show Author Affiliations
Taweesak Chaiyakhun, Suranaree Univ. of Technology (Thailand)
Joewono Widjaja, Suranaree Univ. of Technology (Thailand)
Jaroon Wongjarern, Suranaree Univ. of Technology (Thailand)

Published in SPIE Proceedings Vol. 10714:
Third International Conference on Photonics Solutions (ICPS2017)
Thawatchai Mayteevarunyoo, Editor(s)

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