Closed fringe demodulation by multipolynomial fitting

Francisco Javier Cuevas; Manuel Servin

doi:10.1117/12.560979

2 August 2004 Closed fringe demodulation by multipolynomial fitting

Proceedings Volume 5531, Interferometry XII: Techniques and Analysis; (2004) https://doi.org/10.1117/12.560979
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

In this paper, a set of polynomials are calculated to approximate the phase from a single closed fringe pattern image or interferogram. A scanning window is used to carry out the demodulation process. A polynomial function is fitted over the sub-image obtained from each scanning window. Then, the scanning window is moved on an overlapped neighbourhood of the previous one and the process is repeated. The coefficient polynomial optimization is achieved by multiple application of a genetic algorithm (GA). The GA optimizes a cost function which considers the irradiance similitude between original interferogram and fringes generated by the polynomial obtained from chromosome decodification, the smoothness of the phase being demodulated, and the phase similitude between the overlapped area of actual and previous scanning window. Closed fringe patterns with broad bandwidth can be demodulated. Preliminary results are presented.

Citation Download Citation

Francisco Javier Cuevas and Manuel Servin "Closed fringe demodulation by multipolynomial fitting", Proc. SPIE 5531, Interferometry XII: Techniques and Analysis, (2 August 2004); https://doi.org/10.1117/12.560979

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