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Massachusetts Institute of Technology

Adaptive synthetic Schlieren imaging

Abstract

dc:description.abstract

Traditional schlieren photography has several important disadvantages when designing a system to image refractive index gradients including the relatively high cost of parabolic mirrors and the fact that the technique does not easily yield quantitative data. Both these issues are resolved by using synthetic Schileren photography, but this technique produces images with a lower resolution than traditional schlieren imaging. Synthetic schlieren imaging measures a refractive index gradient by comparing the distortion of two or more images with high frequency backgrounds. This method can either yield low-resolution quantitative data in two dimensions or high-resolution quantitative data in one dimension, but cannot give high-resolution data in two dimensions simultaneously. In order to yield high resolution imaging in two dimensions, a technique is described that based upon previously measured fields, adaptively modifies the high resolution background in order to maximize the resolution for a given flow field.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • La Foy, Roderick R
Advisor dc:contributor.advisor
  • Alexandra Techet.

Subjects

dc:subject × 1

Rights

dc:rights
Statement 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/54508
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/54508

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

La Foy, Roderick R. Adaptive synthetic Schlieren imaging. Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54508