| dc.contributor.advisor | William T. Freeman. | en_US |
| dc.contributor.author | Gunning, Victoria Allyce | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2016-12-22T15:18:37Z | |
| dc.date.available | 2016-12-22T15:18:37Z | |
| dc.date.copyright | 2016 | en_US |
| dc.date.issued | 2016 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/106014 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 90-92). | en_US |
| dc.description.abstract | We explore a non-contact method to measure changes in fluid properties by analyzing refractive motion in high speed video. We present a method of extracting fluid properties by performing video motion analysis using an automated wavelength matching filter followed by fitting of the measurements to theoretical capillary-gravity wave dispersion equations. This method requires an understanding of how field of view, refraction, and parallax affect measurements. We tested the method by analyzing trends in the surface tension to density ratio for cooling water, and for water versus glycerol. | en_US |
| dc.description.statementofresponsibility | by Victoria Allyce Gunning. | en_US |
| dc.format.extent | 92 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Extracting fluid properties through high-speed video analysis | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 965829002 | en_US |
