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An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting
Yanyan Zhang; Mei Li; Changhui Rao
Volume7130
Pages71303F
2008
Language中文
Indexed By其他
Subtype会议论文
AbstractShack-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.
Conference NameProceedings of SPIE,Vol.7130
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/1847
Collection自适应光学技术研究室(八室)
Recommended Citation
GB/T 7714
Yanyan Zhang,Mei Li,Changhui Rao. An image processing method to reduce Shack-Hartamnn wavefront sensor's centroid error for daytime detecting[C],2008:71303F.
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