Online Phase Measurement Profilometry for a Fast-Moving Object

When the measured object is fast moving online, the captured deformed pattern may appear as motion blur, and some phase information will be lost. Therefore, the frame rate has to be improved by adjusting the image acquisition mode of the camera to adapt to a fast-moving object, but the resolution of...

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Main Authors: Jie Gao, Yiping Cao, Jin Chen, Xiuzhang Huang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/6/2805
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author Jie Gao
Yiping Cao
Jin Chen
Xiuzhang Huang
author_facet Jie Gao
Yiping Cao
Jin Chen
Xiuzhang Huang
author_sort Jie Gao
collection DOAJ
description When the measured object is fast moving online, the captured deformed pattern may appear as motion blur, and some phase information will be lost. Therefore, the frame rate has to be improved by adjusting the image acquisition mode of the camera to adapt to a fast-moving object, but the resolution of the captured deformed pattern will be sacrificed. So a super-resolution image reconstruction method based on maximum a posteriori (MAP) estimation is adopted to obtain high-resolution deformed patterns, and in this way, the reconstructed high-resolution deformed patterns also have a good effect on noise suppression. Finally, all the reconstructed high-resolution equivalent phase shifting deformed patterns are used for online three-dimensional (3D) reconstruction. Experimental results prove the effectiveness of the proposed method. The proposed method has a good application prospect in high-precision and fast online 3D measurement.
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spelling doaj.art-b47010569a2c41c89dc7b3f963008d802023-11-21T11:25:03ZengMDPI AGApplied Sciences2076-34172021-03-01116280510.3390/app11062805Online Phase Measurement Profilometry for a Fast-Moving ObjectJie Gao0Yiping Cao1Jin Chen2Xiuzhang Huang3Department of Opto-Electronics, Sichuan University, Chengdu 610064, ChinaDepartment of Opto-Electronics, Sichuan University, Chengdu 610064, ChinaDepartment of Opto-Electronics, Sichuan University, Chengdu 610064, ChinaDepartment of Opto-Electronics, Sichuan University, Chengdu 610064, ChinaWhen the measured object is fast moving online, the captured deformed pattern may appear as motion blur, and some phase information will be lost. Therefore, the frame rate has to be improved by adjusting the image acquisition mode of the camera to adapt to a fast-moving object, but the resolution of the captured deformed pattern will be sacrificed. So a super-resolution image reconstruction method based on maximum a posteriori (MAP) estimation is adopted to obtain high-resolution deformed patterns, and in this way, the reconstructed high-resolution deformed patterns also have a good effect on noise suppression. Finally, all the reconstructed high-resolution equivalent phase shifting deformed patterns are used for online three-dimensional (3D) reconstruction. Experimental results prove the effectiveness of the proposed method. The proposed method has a good application prospect in high-precision and fast online 3D measurement.https://www.mdpi.com/2076-3417/11/6/2805phase measurement profilometrysuper-resolution image reconstructiononline three-dimensional measurementmaximum a posteriorirandom field
spellingShingle Jie Gao
Yiping Cao
Jin Chen
Xiuzhang Huang
Online Phase Measurement Profilometry for a Fast-Moving Object
Applied Sciences
phase measurement profilometry
super-resolution image reconstruction
online three-dimensional measurement
maximum a posteriori
random field
title Online Phase Measurement Profilometry for a Fast-Moving Object
title_full Online Phase Measurement Profilometry for a Fast-Moving Object
title_fullStr Online Phase Measurement Profilometry for a Fast-Moving Object
title_full_unstemmed Online Phase Measurement Profilometry for a Fast-Moving Object
title_short Online Phase Measurement Profilometry for a Fast-Moving Object
title_sort online phase measurement profilometry for a fast moving object
topic phase measurement profilometry
super-resolution image reconstruction
online three-dimensional measurement
maximum a posteriori
random field
url https://www.mdpi.com/2076-3417/11/6/2805
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