An Adaptive Defocus Three-Dimensional Measurement Method Based on Tabu Search and Combined Gray Code

摘要

In the field of 3D measurement, digital fringe projection (DFP) techniques have become a hotspot of research and application due to its non-contact, low cost and high resolution characteristics, but the gamma effect caused by projector seriously affects the 3D measurement quality of DFP techniques. This paper presents a Tabu Search optimization algorithm to generate high-quality binary patterns, which are projected and defocused to obtain the wrap phase, which can avoid the influence of gamma effect on phase quality. Secondly, in order to solve the problem that it is difficult to maintain the degree of defocus, a defocus adaptive optimization system is built. Finally, in order to reduce the influence of projector defocus on Gray code phase unwrapping, a combined Gray code method is proposed, which can accurately unwrap the wrap phase and reduce the interference of the color of object on phase unwrapping. The experimental results show that the proposed method improves the 3D measurement results of DFP techniques and improves the robustness.