Study of 3D profilometry by using wavelet filter

Taweesak Chaiyakhun; Joewono Widjaja; Jaroon Wongjarern

doi:10.1117/12.2299809

5 March 2018 Study of 3D profilometry by using wavelet filter

Taweesak Chaiyakhun, Joewono Widjaja, Jaroon Wongjarern

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available