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A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection
By using the time-division multiplexing characteristics of the projector and the integral exposure characteristics of the charge coupled device (CCD) camera, a super-grayscale and real-time computer-generated Moiré profilometry based on video grating projection is proposed. The traditional digital s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494878/ https://www.ncbi.nlm.nih.gov/pubmed/34615976 http://dx.doi.org/10.1038/s41598-021-99420-8 |
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author | Li, Hongmei Cao, Yiping Wan, Yingying Li, Chengmeng Xu, Cai Zhang, Hechen An, Haihua |
author_facet | Li, Hongmei Cao, Yiping Wan, Yingying Li, Chengmeng Xu, Cai Zhang, Hechen An, Haihua |
author_sort | Li, Hongmei |
collection | PubMed |
description | By using the time-division multiplexing characteristics of the projector and the integral exposure characteristics of the charge coupled device (CCD) camera, a super-grayscale and real-time computer-generated Moiré profilometry based on video grating projection is proposed. The traditional digital static grating is of 256-grayscale at most. If an expected super-grayscale grating with a maximum grayscale of 766 is designed and divided into three 256-grayscale fringe patterns with balanced grayscale as far as possible, they can be synthesized into a repeated playing video grating instead of the traditional static grating. When the video grating is projected onto the measured object, as long as the exposure time is set to three times the refresh cycle of the video grating, the super-grayscale deformed patterns in the 766-grayscale can be captured with a 10-bit CCD camera, so that the deformed patterns are realistic. The digital error in computer-generated Moiré profilometry is effectively reduced. In addition, this method can expand the linear range of the deformed pattern by 20% in computer Moiré profilometry. Therefore, the proposed method has the perspectives of high accuracy and real-time measurement. Theoretical analysis and experimental results demonstrate the validity and capability of the proposed method. |
format | Online Article Text |
id | pubmed-8494878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84948782021-10-08 A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection Li, Hongmei Cao, Yiping Wan, Yingying Li, Chengmeng Xu, Cai Zhang, Hechen An, Haihua Sci Rep Article By using the time-division multiplexing characteristics of the projector and the integral exposure characteristics of the charge coupled device (CCD) camera, a super-grayscale and real-time computer-generated Moiré profilometry based on video grating projection is proposed. The traditional digital static grating is of 256-grayscale at most. If an expected super-grayscale grating with a maximum grayscale of 766 is designed and divided into three 256-grayscale fringe patterns with balanced grayscale as far as possible, they can be synthesized into a repeated playing video grating instead of the traditional static grating. When the video grating is projected onto the measured object, as long as the exposure time is set to three times the refresh cycle of the video grating, the super-grayscale deformed patterns in the 766-grayscale can be captured with a 10-bit CCD camera, so that the deformed patterns are realistic. The digital error in computer-generated Moiré profilometry is effectively reduced. In addition, this method can expand the linear range of the deformed pattern by 20% in computer Moiré profilometry. Therefore, the proposed method has the perspectives of high accuracy and real-time measurement. Theoretical analysis and experimental results demonstrate the validity and capability of the proposed method. Nature Publishing Group UK 2021-10-06 /pmc/articles/PMC8494878/ /pubmed/34615976 http://dx.doi.org/10.1038/s41598-021-99420-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Hongmei Cao, Yiping Wan, Yingying Li, Chengmeng Xu, Cai Zhang, Hechen An, Haihua A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title | A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title_full | A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title_fullStr | A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title_full_unstemmed | A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title_short | A super-grayscale and real-time computer-generated Moiré profilometry using video grating projection |
title_sort | super-grayscale and real-time computer-generated moiré profilometry using video grating projection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494878/ https://www.ncbi.nlm.nih.gov/pubmed/34615976 http://dx.doi.org/10.1038/s41598-021-99420-8 |
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