In order to improve the dynamic measurement range and measurement accuracy of Hartmann-Shack Wavefront Sensor (HSWS) in adaptive optics system

the study of centroid detection for wavefront spot pattern collected by CCD is proposed. This paper introduces the principle of HSWS and presents an adaptive centroid detection method of dynamic positioning spot region

dynamic threshold level segmentation and optimal detection window locking

according to the structure features of Hartmann-Shack wavefront sensor of 127 units and distortion characteristics of the actual human eye spot pattern. Paper discusses the effects of threshold level selection on human eye spot centriod detection and analyses the centroid detection accuracy and noise robustness of the method through simulation and experiments. Experimental results indicate that selecting the threshold level as (50±3)% of total grade amount is the most appropriate and the centroid detection error can be decreased by 60% or more compared with other detection methods. The adaptive centroid detection method is used in HSWS of the adaptive optics retina imaging system

human eye aberration can be reduced from 0.728λ to 0.081λ in RMS(λ=785nm) through close loop correction

and moreover

the system can reach the diffraction limit basically and get retina image. These results show that the adaptive centroid detection method can selecte different experimental parameters aimed at the characteristics of spots

and make up for the limitations of the general methods

and then it can meet the feasibility and practicability of human eye aberration measurement.