Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy

Abstract

Conventional quality-guided (QG) phase unwrapping algorithm is hard to be applied to digital holographic microscopy because of the long execution time. In this paper, we present a threshold automatic selection hybrid phase unwrapping algorithm that combines the existing QG algorithm and the flood-filled (FF) algorithm to solve this problem. The original wrapped phase map is divided into high- and low-quality sub-maps by selecting a threshold automatically, and then the FF and QG unwrapping algorithms are used in each level to unwrap the phase, respectively. The feasibility of the proposed method is proved by experimental results, and the execution speed is shown to be much faster than that of the original QG unwrapping algorithm.

Keywords:

• digital holographic microscopy
• phase unwrapping
• threshold selection automatically
• quality-guided algorithm
• flood-filled algorithm

Additional information

Funding

Funding. This research is supported by the Natural Science Foundation of China (NSFC) [grant number 61377008], [grant number 61107003].