Fourier transform profilometry based on mean envelope extraction

Xiaoxuan Zhang; Shujun Huang; Nan Gao; Zonghua Zhang

doi:10.1117/12.2257801

28 February 2017 Fourier transform profilometry based on mean envelope extraction

Xiaoxuan Zhang, Shujun Huang, Nan Gao, Zonghua Zhang

Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 1025639 (2017) https://doi.org/10.1117/12.2257801
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China

Abstract

Based on an image pre-processing algorithm, a three-dimensional (3D) object measurement method is proposed by combining time domain and frequency domain analysis. Firstly, extreme points of sinusoidal fringes under the disturbance of noise are accurately extracted. Secondly, mean envelope of the fringe is obtained through appropriate interpolation method and then removed. Thirdly, phase information is extracted by using specific filtering in Fourier spectrum of the pre-processed fringe pattern. Finally, simulated and experimental results show a good property of the proposed method in accuracy and measurement range. The proposed method can achieve 3D shape of objects having large slopes and/or discontinuous surfaces from one-shot acquisition by using color fringe projection technique and will have wide applications in the fields of fast measurement.

Citation Download Citation

Xiaoxuan Zhang, Shujun Huang, Nan Gao, and Zonghua Zhang "Fourier transform profilometry based on mean envelope extraction", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 1025639 (28 February 2017); https://doi.org/10.1117/12.2257801

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