基于离散粒子群抖动优化的高质量三维形貌测量

High-Quality Three-Dimensional Shape Measurement Based on Binary Particle Swarm Dithering Optimization

离焦抖动优化技术不仅能消除投影仪的非线性误差,而且不受投影仪刷新率的限制。然而抖动算法本质上只是一个简单的矩阵变换,导致离焦后的二值抖动条纹并不完全接近正弦条纹,产生了一定的测量误差。基于此,提出了一种基于离散粒子群算法的优化方法,对二值离焦抖动技术进行优化。为了加快优化过程,用二值块的优化来代替整个二值图案的优化,然后再利用正弦条纹图案的周期性和对称性,将二值块拼成一个完整的图案。仿真和实验结果表明:所提方法在不同的离焦程度下,都能获得高质量的测量结果。

Defocusing dither optimization techniques can eliminate the nonlinear error and overcome the limitation of refresh rate of a projector.However,the dithering algorithm is only a simple matrix transform and the dithering fringe after defocusing does not approximate the ideal sinusoidal fringe enough,inducing a measurement phase error.This paper proposes a binary particle swarm optimization(BPSO)method,and the binary defocusing dither technique is optimized.To speed up the BPSO process,binary patches are first optimized;then,the patches are joined together with respect to symmetry and periodicity to generate the full-size pattern.The simulation and experimental results demonstrate that the proposed method can obtain high quality measurement results under various extents of defocusing.