Share Email Print

Proceedings Paper

An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting
Author(s): Yanyan Zhang; Mei Li; Changhui Rao
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Shack-Hartamn(S-H) wavefront sensor is widely used in adaptive optics systems. Its detecting centroid error is one of the main error sources in adaptive optical systems. There are many factors affecting the detecting accuracy such as readout noise and background level of CCD camera, number of detecting pixels, and photon shot noise. Because of these noises when it works at daytime, the small target which is detected can not be distinguished. Therefore, the centroid precision is greatly descended. The traditional method is subtracting a threshold. But this method have many disadvantages novel image processing method is proposed to improve the centroid detecting precision when Shack-Hartamnn working at daylight. The morphologic and the fuzzy enhancement are applied in this image processing algorithm before subtracting the threshold. The principle of these algorithms are described in detail; the computer simulation results are also presented. It is shown that this method is more useful for Shack-Hartamnn wavefront sensor to reduce its centroid error when it works at daytime than only subtracting the threshold.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71303F (31 December 2008); doi: 10.1117/12.819682
Show Author Affiliations
Yanyan Zhang, Institute of Optics and Electronics (China)
Graduate School of Chinese Academy of Sciences (China)
Mei Li, Institute of Optics and Electronics (China)
Changhui Rao, Graduate School of Chinese Academy of Sciences (China)

Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?