Shack-Hartmann wavefront sensor (SHWFS) is widely used in adaptive optics systems. Its centroid detecting error is one
of the main error sources in adaptive optical systems. There are many factors affecting the detecting accuracy such as
photon shot noise, readout noise, background level of CCD camera and number of detecting pixels. It is very effective to
enhance the centroid accuracy by setting the threshold for the images of the SHWFS. But in daytime, the sky background
is strong and changes very fast. The threshold cannot be chosen automatically either. In this paper, a new method based
on the morphologic filter and ant colony algorithm is proposed to improve the SHWFS centroid detecting accuracy. The
principle of the morphologic filter and the ant colony algorithm is introduced and the simulation results are also
presented. The results show the proposed method can enhance SHWFS centroid accuracy very well.
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.
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