Multi-objective strategy to optimize dithering technique for high-quality three-dimensional shape measurement

doi:10.1088/1674-1056/ab427b

Abstract Dithering optimization techniques can be divided into the phase-optimized technique and the intensity-optimized technique. The problem with the former is the poor sensitivity to various defocusing amounts, and the problem with the latter is that it cannot enhance phase quality directly nor efficiently. In this paper, we present a multi-objective optimization framework for three-dimensional (3D) measurement by utilizing binary defocusing technique. Moreover, a binary patch optimization technique is used to solve the time-consuming issue of genetic algorithm. It is demonstrated that the presented technique consistently obtains significant phase performance improvement under various defocusing amounts.

Keywords: three-dimensional (3D) shape measurement multi-objective dithering genetic algorithm

Received: 11 July 2019
Revised: 17 July 2019
Accepted manuscript online:

PACS:	42.30.-d	(Imaging and optical processing)
	42.62.Eh	(Metrological applications; optical frequency synthesizers for precision spectroscopy)
	06.30.Ft	(Time and frequency)
	42.30.Rx	(Phase retrieval)

Fund: Project supported by the Zhejiang Provincial Welfare Technology Applied Research Project, China (Grant No. 2017C31080).

Corresponding Authors: Bin Lin
E-mail: wjlin@zju.edu.cn

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Ning Cai(蔡宁), Zhe-Bo Chen(陈浙泊), Xiang-Qun Cao(曹向群), Bin Lin(林斌) Multi-objective strategy to optimize dithering technique for high-quality three-dimensional shape measurement 2019 Chin. Phys. B 28 104210

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Multi-objective strategy to optimize dithering technique for high-quality three-dimensional shape measurement

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