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

• 来源期刊: 中国物理B（英文版）
• 关键词: three-dimensional (3D) shape measurement multi-objective dithering genetic algorithm
• 年，卷（期）: 2019,（10）
• 页码范围: 430-436
• 页数: 7页
• 语种: 英文
• DOI: 10.1088/1674-1056/ab427b

摘要

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.