摘要
On the basis of the objective functions,dithering optimization techniques can be divided into the intensity-based optimization technique and the phase-based optimization technique.However,both types of techniques are spatial-domain optimization techniques,while their measurement performances are essentially determined by the harmonic components in the frequency domain.In this paper,a novel genetic optimization technique in the frequency domain is proposed for highquality fringe generation.In addition,to handle the time-consuming difficulty of genetic algorithm(GA),we first optimize a binary patch,then join the optimal binary patches together according to periodicity and symmetry so as to generate a full-size pattern.It is verified that the proposed technique can significantly enhance the measured performance and ensure the robustness to various amounts of defocusing.
On the basis of the objective functions, dithering optimization techniques can be divided into the intensity-based optimization technique and the phase-based optimization technique. However, both types of techniques are spatial-domain optimization techniques, while their measurement performances are essentially determined by the harmonic components in the frequency domain. In this paper, a novel genetic optimization technique in the frequency domain is proposed for highquality fringe generation. In addition, to handle the time-consuming difficulty of genetic algorithm(GA), we first optimize a binary patch, then join the optimal binary patches together according to periodicity and symmetry so as to generate a full-size pattern. It is verified that the proposed technique can significantly enhance the measured performance and ensure the robustness to various amounts of defocusing.
作者
Ning Cai
Zhe-Bo Chen
Xiang-Qun Cao
Bin Lin
蔡宁;陈浙泊;曹向群;林斌(State Key Laboratory of Modern Optical Instrumentation,CNERC for Optical Instruments,Zhejiang University,Hangzhou 310027,China;Research Institute of Zhejiang University-Taizhou,Taizhou 318000,China)
基金
Project supported by the Science and Technology Major Projects of Zhejiang Province,China(Grant No.2017C31080)
