2013
DOI: 10.1364/ao.52.000439
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Adaptation of the Fourier–Hankel method for deflection tomographic reconstruction of axisymmetric field

Abstract: In this work, we describe an adaptation of Fourier-Hankel method to Abel inversion for the deflection tomographic reconstruction of axisymmetric temperature field. This technique is compared with existing methods to test the accuracy and error propagation using simulated Moiré stripes of natural convection flow above a heated horizontal disk in air. Simpson's 1/3rd rule and one-point and two-point formulas are used in this comparison. The results showed that the proposed technique for Abel inversion is accurat… Show more

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Cited by 26 publications
(20 citation statements)
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“…In order to calibrate the pixel intensity of Schlieren images to absolute refraction angle, a 'weak' plano lens with radius r much smaller than its focal length f was applied, with r = 12.7 mm and f = 10 m (CVI PLCX-25.4-5151.0-C). Based on that, a field of local refractive index difference was reconstructed according to a numerical Abel inversion method of adaptive Fourier-Hankel [13]. Then the refractive index field was obtained and using the Gladstone-Dale law the neutral-species density distribution was obtained [14].…”
Section: Calibrated Schlieren Photographymentioning
confidence: 99%
“…In order to calibrate the pixel intensity of Schlieren images to absolute refraction angle, a 'weak' plano lens with radius r much smaller than its focal length f was applied, with r = 12.7 mm and f = 10 m (CVI PLCX-25.4-5151.0-C). Based on that, a field of local refractive index difference was reconstructed according to a numerical Abel inversion method of adaptive Fourier-Hankel [13]. Then the refractive index field was obtained and using the Gladstone-Dale law the neutral-species density distribution was obtained [14].…”
Section: Calibrated Schlieren Photographymentioning
confidence: 99%
“…To apply AFH directly, instead of ̄( r) , the deflection angle should be used. Following the derivations in Chehouani and Fagrich (2013), the following equation is found:…”
Section: Direct Vs Indirect Approachmentioning
confidence: 99%
“…Inside the discretization coefficient matrix is of the form as (Ma et al 2008;Chehouani and Fagrich 2013;Tan et al 2015):…”
Section: Direct Vs Indirect Approachmentioning
confidence: 99%
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“…Smoothing the data, spline interpolation or polynomial fitting can be used to filter out noise and represent the discrete data as a continuous function. Furthermore, representing the data as Legendre polynomials or wavelets 21,22 , or using Fourier-Hankel transforms is also possible 23,24 .…”
Section: B Abel Transformationmentioning
confidence: 99%