RGB speckle pattern interferometry for surface metrology
Digital speckle pattern interferometry (DSPI) has been widely used for surface metrology of optically rough surfaces. Single visible wavelength can provide high measurement accuracy, but it limits the deformation measurement range of the interferometer. Also, it is difficult to reveal the shape of a...
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sg-ntu-dr.10356-1465532023-12-29T06:43:58Z RGB speckle pattern interferometry for surface metrology Upputuri, Paul Kumar Rajendran, Praveenbalaji Pramanik, Manojit School of Chemical and Biomedical Engineering SPIE - Quantitative Phase Imaging VI Engineering::Bioengineering RGB Interferometry Speckles Digital speckle pattern interferometry (DSPI) has been widely used for surface metrology of optically rough surfaces. Single visible wavelength can provide high measurement accuracy, but it limits the deformation measurement range of the interferometer. Also, it is difficult to reveal the shape of a rough surface with one wavelength in normal illumination and observation geometry. Using more than one visible wavelength in DSPI, one can measure large deformations as well as shape using synthetic wavelength approach. In this work, we will discuss multi-wavelength speckle pattern interferometry using a Bayer RGB sensor. The colour sensor allows simultaneous acquisition of speckle patterns at different wavelengths. The colour images acquired using RGB sensor is split in to its individual components and corresponding interference phase map is recovered using error compensating phase shifting algorithm. The wrapped phase is unwrapped to quantify the deformation or shape information of the sample under inspection. Theoretical background of RGB interferometry for deformation and shape measurements, and experimental results will be presented. Ministry of Education (MOE) National Medical Research Council (NMRC) Accepted version The authors would like to acknowledge the financial support from the Singapore Ministry of Health’s National Medical Research Council (NMRC/OFIRG/0005/2016: M4062012) and Tier 1 grant funded by Ministry of Education Singapore (RG144/18: M4012098). 2021-03-01T02:30:40Z 2021-03-01T02:30:40Z 2020 Conference Paper Upputuri, P. K., Rajendran, P., & Pramanik, M. (2020). RGB speckle pattern interferometry for surface metrology. Proceedings of SPIE - Quantitative Phase Imaging VI, 11249, 53-. doi:10.1117/12.2543916 9781510632615 https://hdl.handle.net/10356/146553 10.1117/12.2543916 2-s2.0-85082689878 11249 53 en Copyright 2020 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. application/pdf |
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Engineering::Bioengineering RGB Interferometry Speckles Upputuri, Paul Kumar Rajendran, Praveenbalaji Pramanik, Manojit RGB speckle pattern interferometry for surface metrology |
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Digital speckle pattern interferometry (DSPI) has been widely used for surface metrology of optically rough surfaces. Single visible wavelength can provide high measurement accuracy, but it limits the deformation measurement range of the interferometer. Also, it is difficult to reveal the shape of a rough surface with one wavelength in normal illumination and observation geometry. Using more than one visible wavelength in DSPI, one can measure large deformations as well as shape using synthetic wavelength approach. In this work, we will discuss multi-wavelength speckle pattern interferometry using a Bayer RGB sensor. The colour sensor allows simultaneous acquisition of speckle patterns at different wavelengths. The colour images acquired using RGB sensor is split in to its individual components and corresponding interference phase map is recovered using error compensating phase shifting algorithm. The wrapped phase is unwrapped to quantify the deformation or shape information of the sample under inspection. Theoretical background of RGB interferometry for deformation and shape measurements, and experimental results will be presented. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering Upputuri, Paul Kumar Rajendran, Praveenbalaji Pramanik, Manojit |
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Conference or Workshop Item |
author |
Upputuri, Paul Kumar Rajendran, Praveenbalaji Pramanik, Manojit |
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Upputuri, Paul Kumar |
title |
RGB speckle pattern interferometry for surface metrology |
title_short |
RGB speckle pattern interferometry for surface metrology |
title_full |
RGB speckle pattern interferometry for surface metrology |
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RGB speckle pattern interferometry for surface metrology |
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RGB speckle pattern interferometry for surface metrology |
title_sort |
rgb speckle pattern interferometry for surface metrology |
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2021 |
url |
https://hdl.handle.net/10356/146553 |
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1787136445998170112 |