Paper
19 November 2003 Comparison of three methods of integration to obtain the profile from its slope
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Proceedings Volume 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life; (2003) https://doi.org/10.1117/12.530333
Event: 19th Congress of the International Commission for Optics: Optics for the Quality of Life, 2002, Florence, Italy
Abstract
In some measurement techniques the profile f(x) of a function should be obtained from the measured slope f'(x) data by integration. The slope is measured in a given set of points xn = nΔx, n = 1, N[f'(xn)=f'n] and from these data we should obtain the profile with the highest possible accuracy. In general, all integration methods perform some kind of interpolation between the data: Newton-Cotes quadrature expressions (trapezoidal rule, Simpson rule, ...), spline interpolation, etc. We propose here the integration of the function in the Fourier Domain then the most accurate interpolation is automatically carried out. In section 2 we present the classical methods. In section 3 our proposal is described. Finally, in section 4, a comparison between the different methods is carried out.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonid P. Yaroslavsky, Juan Campos, A. Moreno, and Maria Josefa Yzuel "Comparison of three methods of integration to obtain the profile from its slope", Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); https://doi.org/10.1117/12.530333
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Cited by 2 scholarly publications.
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KEYWORDS
Point spread functions

Convolution

Data integration

Detection theory

Digital filtering

Integrated optics

Numerical integration

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