A new simple algorithm for image processing in Shack-Hartmann wavefront sensing

F. D. Kashani; B. Ghafary; S. B. Shokouhi

doi:10.1117/12.736747

29 May 2007 A new simple algorithm for image processing in Shack-Hartmann wavefront sensing

F. D. Kashani, B. Ghafary, S. B. Shokouhi

Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560Z (2007) https://doi.org/10.1117/12.736747
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France

Abstract

Quality testing of optics which is used in laboratories is one of the most important tasks and many procedures are proposed and used. These testing procedures are based on measurement of reflecting laser wavefront from optical component surfaces. By using the Shack-Hartmann method, we can measure a simple curved laser beam wavefront. For achieving this, firstly we reduce optical noise which may disturb our optical data. We improved peak location and sum location algorithms to introduce a simple new algorithm, based on adaptive thresholding. The proposed algorithm scans the image to identify the approximate location of focal spots by looking for local optical centers on CCD screen.

Citation Download Citation

F. D. Kashani, B. Ghafary, and S. B. Shokouhi "A new simple algorithm for image processing in Shack-Hartmann wavefront sensing", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560Z (29 May 2007); https://doi.org/10.1117/12.736747

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