Regular Articles

Artificial neural network approach for moiré fringe center determination

[+] Author Affiliations
Wing Hon Woo, Mani Maran Ratnam, Kin Sam Yen

Universiti Sains Malaysia, School of Mechanical Engineering, Engineering Campus, Nibong Tebal, Penang 14300, Malaysia

J. Electron. Imaging. 24(6), 063021 (Dec 24, 2015). doi:10.1117/1.JEI.24.6.063021
History: Received July 26, 2015; Accepted November 20, 2015
Text Size: A A A

Abstract.  The moiré effect has been used in high-accuracy positioning and alignment systems for decades. Various methods have been proposed to identify and locate moiré fringes in order to relate the pattern information to dimensional and displacement measurement. These methods can be broadly categorized into manual interpretation based on human knowledge and image processing based on computational algorithms. An artificial neural network (ANN) is proposed to locate moiré fringe centers within circular grating moiré patterns. This ANN approach aims to mimic human decision making by eliminating complex mathematical computations or time-consuming image processing algorithms in moiré fringe recognition. A feed-forward backpropagation ANN architecture was adopted in this work. Parametric studies were performed to optimize the ANN architecture. The finalized ANN approach was able to determine the location of the fringe centers with average deviations of 3.167 pixels out of 200 pixels (1.6%) and 6.166 pixels out of 200 pixels (3.1%) for real moiré patterns that lie within and outside the training intervals, respectively. In addition, a reduction of 43.4% in the computational time was reported using the ANN approach. Finally, the applicability of the ANN approach for moiré fringe center determination was confirmed.

© 2015 SPIE and IS&T

Citation

Wing Hon Woo ; Mani Maran Ratnam and Kin Sam Yen
"Artificial neural network approach for moiré fringe center determination", J. Electron. Imaging. 24(6), 063021 (Dec 24, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.063021


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Journal Articles

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.