iFringe : a fringe analysis application for mobile smart devices
This paper introduces iFringe, a mobile application that attempts to incorporate the resource heavy fringe analysis algorithms into the smart mobile devices platform. This first step taken towards mobility in the optical processing field aims to become a catalyst for modernization of various aspects...
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sg-ntu-dr.10356-887672020-03-07T11:48:46Z iFringe : a fringe analysis application for mobile smart devices Qian, Kemao Chan, Jacob Teo, Josias Yi Si Quan, Chenggen Qian, Kemao Asundi, Anand Chau, Fook Siong School of Computer Science and Engineering Proceedings of SPIE - International Conference on Experimental Mechanics 2014 DRNTU::Engineering::Computer science and engineering Mobile Fringe Analysis This paper introduces iFringe, a mobile application that attempts to incorporate the resource heavy fringe analysis algorithms into the smart mobile devices platform. This first step taken towards mobility in the optical processing field aims to become a catalyst for modernization of various aspects of the field as well as to diversify developments to other applications. Predominantly, the motivation of this work stems from the vastly indifferent human interactive method of mobile devices, which enable images displayed on its touch screen to be manipulated in ways that could enhance the fringe analysis experience. Furthermore, given its hardware compatibility to the conventional fringe projection system, these mobile devices could potentially serve as a much more compact replacement. However, one imperative weakness that mobile devices pose is its limited computing ability. Therefore, to examine the feasibility of incorporating the fringe analysis algorithms into a mobile platform, we have implemented two fundamental fringe analysis techniques, namely the Fourier transform fringe analysis method and the phase-shifting technique. Formulas and processing procedures such as discrete Fourier transform (DFT) and quality-guided phase unwrapping, were included in accordance to their original algorithms to test their performance and usability on a smart mobile device. Details of the implementation and the performance results will also be presented in this paper to demonstrate the practicality of these algorithms on the smart mobile device platform. Published version 2018-12-14T03:14:04Z 2019-12-06T17:10:32Z 2018-12-14T03:14:04Z 2019-12-06T17:10:32Z 2015 Conference Paper Chan, J., Teo, J. Y. S., & Qian, K. (2015). iFringe: a fringe analysis application for mobile smart devices. Proceedings of SPIE - International Conference on Experimental Mechanics 2014, 9302, 93022B-. doi:10.1117/12.2084787 https://hdl.handle.net/10356/88767 http://hdl.handle.net/10220/46964 10.1117/12.2084787 en © 2015 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE - International Conference on Experimental Mechanics 2014 and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2084787]. 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. 7 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Mobile Fringe Analysis Qian, Kemao Chan, Jacob Teo, Josias Yi Si iFringe : a fringe analysis application for mobile smart devices |
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This paper introduces iFringe, a mobile application that attempts to incorporate the resource heavy fringe analysis algorithms into the smart mobile devices platform. This first step taken towards mobility in the optical processing field aims to become a catalyst for modernization of various aspects of the field as well as to diversify developments to other applications. Predominantly, the motivation of this work stems from the vastly indifferent human interactive method of mobile devices, which enable images displayed on its touch screen to be manipulated in ways that could enhance the fringe analysis experience. Furthermore, given its hardware compatibility to the conventional fringe projection system, these mobile devices could potentially serve as a much more compact replacement. However, one imperative weakness that mobile devices pose is its limited computing ability. Therefore, to examine the feasibility of incorporating the fringe analysis algorithms into a mobile platform, we have implemented two fundamental fringe analysis techniques, namely the Fourier transform fringe analysis method and the phase-shifting technique. Formulas and processing procedures such as discrete Fourier transform (DFT) and quality-guided phase unwrapping, were included in accordance to their original algorithms to test their performance and usability on a smart mobile device. Details of the implementation and the performance results will also be presented in this paper to demonstrate the practicality of these algorithms on the smart mobile device platform. |
author2 |
Quan, Chenggen |
author_facet |
Quan, Chenggen Qian, Kemao Chan, Jacob Teo, Josias Yi Si |
format |
Conference or Workshop Item |
author |
Qian, Kemao Chan, Jacob Teo, Josias Yi Si |
author_sort |
Qian, Kemao |
title |
iFringe : a fringe analysis application for mobile smart devices |
title_short |
iFringe : a fringe analysis application for mobile smart devices |
title_full |
iFringe : a fringe analysis application for mobile smart devices |
title_fullStr |
iFringe : a fringe analysis application for mobile smart devices |
title_full_unstemmed |
iFringe : a fringe analysis application for mobile smart devices |
title_sort |
ifringe : a fringe analysis application for mobile smart devices |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/88767 http://hdl.handle.net/10220/46964 |
_version_ |
1681043089852989440 |