Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96108
Title: Adaptive centroid-finding algorithm for freeform surface measurements
Authors: Guo, Wenjiang
Zhao, Liping
Tong, Chin Shi
Chen, I-Ming
Joshi, Sunil Chandrakant
Issue Date: 2013
Source: Guo, W., Zhao, L., Tong, C. S., Chen, I.-M., & Joshi, S. C. (2013). Adaptive centroid-finding algorithm for freeform surface measurements. Applied Optics, 52(10), D75-D83.
Series/Report no.: Applied optics
Abstract: Wavefront sensing systems measure the slope or curvature of a surface by calculating the centroid displacement of two focal spot images. Accurately finding the centroid of each focal spot determines the measurement results. This paper studied several widely used centroid-finding techniques and observed that thresholding is the most critical factor affecting the centroid-finding accuracy. Since the focal spot image of a freeform surface usually suffers from various types of image degradation, it is difficult and sometimes impossible to set a best threshold value for the whole image. We propose an adaptive centroid-finding algorithm to tackle this problem and have experimentally proven its effectiveness in measuring freeform surfaces.
URI: https://hdl.handle.net/10356/96108
http://hdl.handle.net/10220/10100
DOI: 10.1364/AO.52.000D75
Rights: © 2013 Optical Society of America. This paper was published in Applied Optics and is made available as an electronic reprint (preprint) with permission of Optical Society of America. The paper can be found at the following official DOI: [http://dx.doi.org/10.1364/AO.52.000D75].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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