Study of 3-D profilometry by using wavelet filter

被引：2

作者：

Chaiyakhun, Taweesak ^{[1
]}

Widjaja, Joewono ^{[1
]}

Wongjarern, Jaroon ^{[2
]}

机构：

[1] Suranaree Univ Technol, Sch Phys, Nakhon Ratchasima 30000, Thailand

[2] Suranaree Univ Technol, Sch Elect Engn, Nakhon Ratchasima 30000, Thailand

来源：

THIRD INTERNATIONAL CONFERENCE ON PHOTONICS SOLUTIONS (ICPS2017) | 2018年 / 10714卷

关键词：

Fourier transform profilometry; 3D shape reconstruction; wavelet transform; height measurement; FOURIER-TRANSFORM PROFILOMETRY;

D O I：

10.1117/12.2299809

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：6

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