Wave front distortion based fluid flow imaging

Emishaw Iffa; Wolfgang Heidrich

doi:10.1117/12.2006135

Wave front distortion based fluid flow imaging

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a transparent flow surface reconstruction based on wave front distortion is investigated. A camera lens is used to focus the image formed by the micro-lens array to the camera imaging plane. The irradiance of the captured image is transformed to frequency spectrum and then the x and y spatial components are separated. A rigid spatial translation followed by low pass filtering yields a single frequency component of the image intensity. Index of refraction is estimated from the inverse Fourier transform of the spatial frequency spectrum of the irradiance. The proposed method is evaluated with synthetic data of a randomly generated index of refraction value and used to visualize a fuel injection volumetric data.

Original language	English (US)
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publication	Machine Vision Applications VI
Volume	8661
DOIs	https://doi.org/10.1117/12.2006135
State	Published - 2013
Externally published	Yes
Event	Image Processing: Machine Vision Applications VI - Burlingame, CA, United States Duration: Feb 5 2013 → Feb 6 2013

Other

Other	Image Processing: Machine Vision Applications VI
Country/Territory	United States
City	Burlingame, CA
Period	02/5/13 → 02/6/13

Keywords

Flow visualization
Fourier demodulation
Index of refraction
Light field
Transparent flow
Wavefront reconstruction

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.2006135

Cite this

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title = "Wave front distortion based fluid flow imaging",

abstract = "In this paper, a transparent flow surface reconstruction based on wave front distortion is investigated. A camera lens is used to focus the image formed by the micro-lens array to the camera imaging plane. The irradiance of the captured image is transformed to frequency spectrum and then the x and y spatial components are separated. A rigid spatial translation followed by low pass filtering yields a single frequency component of the image intensity. Index of refraction is estimated from the inverse Fourier transform of the spatial frequency spectrum of the irradiance. The proposed method is evaluated with synthetic data of a randomly generated index of refraction value and used to visualize a fuel injection volumetric data.",

keywords = "Flow visualization, Fourier demodulation, Index of refraction, Light field, Transparent flow, Wavefront reconstruction",

author = "Emishaw Iffa and Wolfgang Heidrich",

year = "2013",

doi = "10.1117/12.2006135",

language = "English (US)",

isbn = "9780819494344",

volume = "8661",

booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Image Processing",

note = "Image Processing: Machine Vision Applications VI ; Conference date: 05-02-2013 Through 06-02-2013",

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TY - GEN

T1 - Wave front distortion based fluid flow imaging

AU - Iffa, Emishaw

AU - Heidrich, Wolfgang

PY - 2013

Y1 - 2013

N2 - In this paper, a transparent flow surface reconstruction based on wave front distortion is investigated. A camera lens is used to focus the image formed by the micro-lens array to the camera imaging plane. The irradiance of the captured image is transformed to frequency spectrum and then the x and y spatial components are separated. A rigid spatial translation followed by low pass filtering yields a single frequency component of the image intensity. Index of refraction is estimated from the inverse Fourier transform of the spatial frequency spectrum of the irradiance. The proposed method is evaluated with synthetic data of a randomly generated index of refraction value and used to visualize a fuel injection volumetric data.

AB - In this paper, a transparent flow surface reconstruction based on wave front distortion is investigated. A camera lens is used to focus the image formed by the micro-lens array to the camera imaging plane. The irradiance of the captured image is transformed to frequency spectrum and then the x and y spatial components are separated. A rigid spatial translation followed by low pass filtering yields a single frequency component of the image intensity. Index of refraction is estimated from the inverse Fourier transform of the spatial frequency spectrum of the irradiance. The proposed method is evaluated with synthetic data of a randomly generated index of refraction value and used to visualize a fuel injection volumetric data.

KW - Flow visualization

KW - Fourier demodulation

KW - Index of refraction

KW - Light field

KW - Transparent flow

KW - Wavefront reconstruction

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U2 - 10.1117/12.2006135

DO - 10.1117/12.2006135

M3 - Conference contribution

AN - SCOPUS:84878066898

SN - 9780819494344

VL - 8661

BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Processing

T2 - Image Processing: Machine Vision Applications VI

Y2 - 5 February 2013 through 6 February 2013

ER -

Wave front distortion based fluid flow imaging

Abstract

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Keywords

ASJC Scopus subject areas

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