基于模拟退火的刚体动态相位测量轮廓术

Dynamic phase measuring profilometry for rigid objects based on simulated annealing.

作者信息

Dai Mingyou, Peng Kuang, Luo Man, Zhao Jiang, Wang Wenfeng, Cao Yiping

出版信息

Appl Opt. 2020 Jan 10;59(2):389-395. doi: 10.1364/AO.59.000389.

DOI:10.1364/AO.59.000389

Abstract

This paper presents a dynamic phase measurement profilometry (PMP) method based on the simulated annealing algorithm. In dynamic PMP for rigid objects, pixel matching is an effective method to make one-to-one pixel correspondence in each captured pattern. However, pixel matching by the global traversing algorithm takes up most of the time in the whole reconstruction process. For the purpose of optimizing pixel matching and enhancing performance in dynamic PMP, the simulated annealing algorithm is introduced. By generating a random path based on the simulated annealing algorithm, it is sufficient to locate the approximate area of the measured object. Then the accurate position can be calculated by combining it with a partial traversing algorithm. The proposed method can reduce pixel matching time by 63% and increase reconstruction efficiency by 58%. Simulations and experiments prove feasibility and precision.

摘要

本文提出了一种基于模拟退火算法的动态相位测量轮廓术（PMP）方法。在针对刚性物体的动态PMP中，像素匹配是在每个捕获图案中实现像素一一对应的有效方法。然而，全局遍历算法进行像素匹配在整个重建过程中占据了大部分时间。为了优化像素匹配并提高动态PMP的性能，引入了模拟退火算法。通过基于模拟退火算法生成随机路径，足以定位被测物体的大致区域。然后将其与局部遍历算法相结合来计算精确位置。所提方法可将像素匹配时间减少63%，并将重建效率提高58%。仿真和实验证明了该方法的可行性和精度。