数字全息显微中的相位像差自动补偿算法

结合图像分割技术提出了一种用于数字全息显微成像的相位像差自动补偿算法.首先，采用最小二乘拟合算法对包含被测物体的解包裹相位图进行粗略的补偿，在此基础上，利用图像分割算法对其背景区域进行分割，获得不含被测物体的解包裹相位图.最后，对其进行最小二乘拟合从而实现相位像差的精确补偿.传统的数字全息显微技术需要通过手工检测背景区域来解决相位像差补偿的问题.然而，本文方法既不需要人工干预，也不需要光学设置的先验知识，即可实现相位像差的自动补偿.通过搭建的数字全息显微实验平台验证了所提算法的可行性和准确性.

Automatic Compensation Algorithm of Phase Aberration in Digital Holographic Microscopy

An automatic compensation algorithm of phase aberration for digital holographic microscopy based on image segmentation is proposed. Firstly， the least square fitting method is used to roughly compensate the unwrapped phase map containing the measured object. On this basis， the image segmentation algorithm is used to segment the background region to obtain the unwrapped phase map without the measured object. Finally， the least square fitting is carried out to realize the accurate compensation of phase aberration. The traditional digital holographic microscopy needs to detect the background region manually to solve the problem of phase aberration compensation. However， the proposed method can achieve the automatic compensation of phase aberrations without any manual intervention or prior knowledge of optical setup. The accuracy and feasibility of the algorithm are verified on the experiment platform of digital holographic microscopy.