8 October 2015 Iterative algorithm for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution
Author Affiliations +
Proceedings Volume 9677, AOPC 2015: Optical Test, Measurement, and Equipment; 96771M (2015) https://doi.org/10.1117/12.2199700
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
New method for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution is proposed. It is based on basic iterative scheme and accelerates the Gauss-Seidel method by introducing an acceleration parameter. This modified Successive Over-relaxation (SOR) is effective for solving the rotationally asymmetric components with pixel-level spatial resolution, without the usage of a fitting procedure. Compared to the Jacobi and Gauss-Seidel method, the modified SOR method with an optimal relaxation factor converges much faster and saves more computational costs and memory space without reducing accuracy. It has been proved by real experimental results.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyang Quan, Haiyang Quan, Fan Wu, Fan Wu, Xi Hou, Xi Hou, } "Iterative algorithm for reconstructing rotationally asymmetric surface deviation with pixel-level spatial resolution", Proc. SPIE 9677, AOPC 2015: Optical Test, Measurement, and Equipment, 96771M (8 October 2015); doi: 10.1117/12.2199700; https://doi.org/10.1117/12.2199700
PROCEEDINGS
5 PAGES


SHARE
Back to Top