An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting

Yanyan Zhang; Mei Li; Changhui Rao

doi:10.1117/12.819682

31 December 2008 An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting

Yanyan Zhang, Mei Li, Changhui Rao

Author Affiliations +

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71303F (2008) https://doi.org/10.1117/12.819682
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

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.

Citation Download Citation

Yanyan Zhang, Mei Li, and Changhui Rao "An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71303F (31 December 2008); https://doi.org/10.1117/12.819682

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