Automatic Compensation Algorithm of Phase Aberration in Digital Holographic Microscopy

doi:10.12068/j.issn.1005-3026.2020.11.011

Abstract

Abstract: 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.

Key words: image segmentation, digital holographic microscopy, aberration compensation, unwrapped phase map, least square fitting

CLC Number:

O436

MA Shu-jun， FANG Rui. Automatic Compensation Algorithm of Phase Aberration in Digital Holographic Microscopy[J]. Journal of Northeastern University Natural Science, 2020, 41(11): 1591-1595.

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