中国激光, 2019, 46 (10): 1004003, 网络出版: 2019-10-25
基于离散粒子群抖动优化的高质量三维形貌测量 下载: 962次
High-Quality Three-Dimensional Shape Measurement Based on Binary Particle Swarm Dithering Optimization
测量 三维图像获取 二值图像 粒子群优化 抖动 measurement three-dimensional image acquisition binary images particle swarm optimization dithering
摘要
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。
Abstract
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.
蔡宁, 陈浙泊, 林斌, 曹向群. 基于离散粒子群抖动优化的高质量三维形貌测量[J]. 中国激光, 2019, 46(10): 1004003. Ning Cai, Zhebo Chen, Bin Lin, Xiangqun Cao. High-Quality Three-Dimensional Shape Measurement Based on Binary Particle Swarm Dithering Optimization[J]. Chinese Journal of Lasers, 2019, 46(10): 1004003.