5 March 2018 Study of 3D profilometry by using wavelet filter
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Proceedings Volume 10714, Third International Conference on Photonics Solutions (ICPS2017); 107140J (2018) https://doi.org/10.1117/12.2299809
Event: Third International Conference on Photonic Solutions, 2017, Pattaya, Thailand
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.
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Taweesak Chaiyakhun, Joewono Widjaja, Jaroon Wongjarern, "Study of 3D profilometry by using wavelet filter", Proc. SPIE 10714, Third International Conference on Photonics Solutions (ICPS2017), 107140J (5 March 2018); doi: 10.1117/12.2299809; https://doi.org/10.1117/12.2299809
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