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针对目前人眼像差哈特曼-夏克测量仪不能自动补偿人眼离焦的不足,通过分析不同调焦状态下连续采集的哈特曼-夏克光斑图像序列,构造了离焦补偿评价函数,在现有像差测量仪平台上实现了人眼像差自动离焦补偿。算法根据调焦过程中哈特曼-夏克光斑的形态变化,定义了通过光斑图像评估离焦补偿结果的评价标准,并依据评价函数确定最佳光斑图像对应的离焦补偿量,从而确保哈特曼-夏克波前传感器能准确测得离焦补偿后剩余的人眼像差。实验结果表明,本方法对杂散光噪声具有较强的稳健性,可以准确实现调焦系统的自动离焦补偿,为后续像差测量仪精密测量人眼高阶像差提供了十分重要的方法。
Aiming at the shortcomings that the Hartmann-Shack measuring instrument can not compensate the human eye defocus automatically, the defocus compensation evaluation is constructed by analyzing the sequence of Hartmann-Shack speckles acquired continuously under different focusing states. Function, the realization of the human eye aberration automatic defocus compensation on the existing aberrometer platform. According to the morphological changes of Hartmann-Shack spot during the focusing process, the algorithm defines the evaluation criteria for evaluating the defocus compensation result through the spot image and determines the defocus compensation amount corresponding to the best spot image according to the evaluation function so as to ensure that Terman - Shake wavefront sensor can accurately measure the defocus compensation remaining after the human eye aberration. Experimental results show that the proposed method is robust to stray light noise and can accurately compensate the auto-focus of the focusing system. It provides a very important method for the precision measurement of the high-order aberrations of the human eye by using the aberrometer.