Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/95887
Title: Improvement of least-squares integration method with iterative compensations in fringe reflectometry
Authors: Huang, Lei
Asundi, Anand Krishna
Issue Date: 2012
Source: Huang, L., & Asundi, A. K. (2012). Improvement of least-squares integration method with iterative compensations in fringe reflectometry. Applied optics, 51(31), 7459-7465.
Series/Report no.: Applied optics
Abstract: Least-squares integration is one of the most effective and widely used methods for shape reconstruction from gradient data, which result from gradient measurement techniques. However, its reconstruction accuracy is limited due to the imperfection of the Southwell grid model, which is commonly applied in the least-squares integration method. An operation with iterative compensations is therefore proposed, especially for the traditional least-squares integration method, to improve its integration accuracy. Simulation and experiment are carried out to verify the feasibility and superiority of the proposed operation. This compensatory operation with iterations is suggested, and its good performance on integration accuracy improvement is shown.
URI: https://hdl.handle.net/10356/95887
http://hdl.handle.net/10220/10877
DOI: 10.1364/AO.51.007459
Rights: © 2012 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: [tp://dx.doi.org/10.1364/AO.51.007459]. 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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