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Computer-generated moiré profilometry based on fringe-superposition

A computer-generated moiré profilometry based on algebraic addition instead of algebraic multiplication is proposed. Firstly, the two AC components of the captured fringe patterns on the reference plane with [Formula: see text] phase difference are retrieved and saved in advance. While measuring, tw...

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Autores principales: Li, Chengmeng, Cao, Yiping, Wang, Lu, Wan, Yingying, Li, Hongmei, Xu, Cai, Zhang, Hechen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560732/
https://www.ncbi.nlm.nih.gov/pubmed/33057102
http://dx.doi.org/10.1038/s41598-020-74167-w
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author Li, Chengmeng
Cao, Yiping
Wang, Lu
Wan, Yingying
Li, Hongmei
Xu, Cai
Zhang, Hechen
author_facet Li, Chengmeng
Cao, Yiping
Wang, Lu
Wan, Yingying
Li, Hongmei
Xu, Cai
Zhang, Hechen
author_sort Li, Chengmeng
collection PubMed
description A computer-generated moiré profilometry based on algebraic addition instead of algebraic multiplication is proposed. Firstly, the two AC components of the captured fringe patterns on the reference plane with [Formula: see text] phase difference are retrieved and saved in advance. While measuring, two sinusoidal gratings with [Formula: see text] phase difference are projected onto the measured object alternatively, and the corresponding deformed patterns are captured. Then the AC component of the captured deformed pattern can be separated exactly. When the positive and negative AC component of the captured deformed pattern are added to the two prestored AC components respectively, two moiré fringes only reflect sine and cosine of the object’s phase information can be successfully generated via a series of data processing procedures. Finally, the phase distribution of the measured object can be extracted by arctangent of the ratio of these two moiré fringes. Compared with computer-generated moiré profilometry based on algebraic multiplication, this proposed method can reduce the effect of high frequency noise and residual DC component on measurement and improve the measurement accuracy. While compared with [Formula: see text] phase shifting FTP, this method can measure more complex objects with better measurement capability. Experimental results verify the feasibility and validity of the proposed method.
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spelling pubmed-75607322020-10-19 Computer-generated moiré profilometry based on fringe-superposition Li, Chengmeng Cao, Yiping Wang, Lu Wan, Yingying Li, Hongmei Xu, Cai Zhang, Hechen Sci Rep Article A computer-generated moiré profilometry based on algebraic addition instead of algebraic multiplication is proposed. Firstly, the two AC components of the captured fringe patterns on the reference plane with [Formula: see text] phase difference are retrieved and saved in advance. While measuring, two sinusoidal gratings with [Formula: see text] phase difference are projected onto the measured object alternatively, and the corresponding deformed patterns are captured. Then the AC component of the captured deformed pattern can be separated exactly. When the positive and negative AC component of the captured deformed pattern are added to the two prestored AC components respectively, two moiré fringes only reflect sine and cosine of the object’s phase information can be successfully generated via a series of data processing procedures. Finally, the phase distribution of the measured object can be extracted by arctangent of the ratio of these two moiré fringes. Compared with computer-generated moiré profilometry based on algebraic multiplication, this proposed method can reduce the effect of high frequency noise and residual DC component on measurement and improve the measurement accuracy. While compared with [Formula: see text] phase shifting FTP, this method can measure more complex objects with better measurement capability. Experimental results verify the feasibility and validity of the proposed method. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7560732/ /pubmed/33057102 http://dx.doi.org/10.1038/s41598-020-74167-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Chengmeng
Cao, Yiping
Wang, Lu
Wan, Yingying
Li, Hongmei
Xu, Cai
Zhang, Hechen
Computer-generated moiré profilometry based on fringe-superposition
title Computer-generated moiré profilometry based on fringe-superposition
title_full Computer-generated moiré profilometry based on fringe-superposition
title_fullStr Computer-generated moiré profilometry based on fringe-superposition
title_full_unstemmed Computer-generated moiré profilometry based on fringe-superposition
title_short Computer-generated moiré profilometry based on fringe-superposition
title_sort computer-generated moiré profilometry based on fringe-superposition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560732/
https://www.ncbi.nlm.nih.gov/pubmed/33057102
http://dx.doi.org/10.1038/s41598-020-74167-w
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