Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 79-82). === This thesis presents a numerical study of the effects of radial image distortion and spherical aberration on...

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Main Author: Kubaczyk, Daniel Mark
Other Authors: Douglas P. Hart.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2013
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Online Access:http://hdl.handle.net/1721.1/79275
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-792752019-05-02T15:50:32Z Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements Kubaczyk, Daniel Mark Douglas P. Hart. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 79-82). This thesis presents a numerical study of the effects of radial image distortion and spherical aberration on reconstruction quality of synthetic aperture particle image velocimetry (SAPIV) measurements. A simulated SAPIV system is used to image a synthetic particle volume. An idealized pinhole camera model is used for image formation with distortion and spherical aberration being added with a polynomial model and a Fourier waveform model, respectively. Images from a simulated 5 x 5 camera array are taken, distorted and/or aberrated, realigned and averaged to form synthetic aperture images at a set of depths within the particle volume. These images are thresholded to recover three-dimensional particle locations and a reconstructed three-dimensional intensity field is formed. This reconstructed field is then evaluated according to intensity data and a signal-to-noise ratio (SNR). Results show that even small amounts of image distortion and spherical aberration can lead to degradation of SNR and information loss. by Daniel Mark Kubaczyk. S.M. 2013-06-17T19:52:25Z 2013-06-17T19:52:25Z 2013 2013 Thesis http://hdl.handle.net/1721.1/79275 846681047 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 90 p. application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Mechanical Engineering.
spellingShingle Mechanical Engineering.
Kubaczyk, Daniel Mark
Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 79-82). === This thesis presents a numerical study of the effects of radial image distortion and spherical aberration on reconstruction quality of synthetic aperture particle image velocimetry (SAPIV) measurements. A simulated SAPIV system is used to image a synthetic particle volume. An idealized pinhole camera model is used for image formation with distortion and spherical aberration being added with a polynomial model and a Fourier waveform model, respectively. Images from a simulated 5 x 5 camera array are taken, distorted and/or aberrated, realigned and averaged to form synthetic aperture images at a set of depths within the particle volume. These images are thresholded to recover three-dimensional particle locations and a reconstructed three-dimensional intensity field is formed. This reconstructed field is then evaluated according to intensity data and a signal-to-noise ratio (SNR). Results show that even small amounts of image distortion and spherical aberration can lead to degradation of SNR and information loss. === by Daniel Mark Kubaczyk. === S.M.
author2 Douglas P. Hart.
author_facet Douglas P. Hart.
Kubaczyk, Daniel Mark
author Kubaczyk, Daniel Mark
author_sort Kubaczyk, Daniel Mark
title Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
title_short Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
title_full Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
title_fullStr Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
title_full_unstemmed Assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
title_sort assessment of radial image distortion and spherical aberration on three-dimensional synthetic aperture particle image velocimetry measurements
publisher Massachusetts Institute of Technology
publishDate 2013
url http://hdl.handle.net/1721.1/79275
work_keys_str_mv AT kubaczykdanielmark assessmentofradialimagedistortionandsphericalaberrationonthreedimensionalsyntheticapertureparticleimagevelocimetrymeasurements
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