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

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.