2015
DOI: 10.1016/j.optcom.2014.10.055
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Non-destructive strain determination based on phase measurement and radial basis function

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Cited by 6 publications
(3 citation statements)
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“…What is more important, MDS is based on geodesic distances that are calculated from the graph G E = ( V , C E ) and the training targets defined as T = { t 1 , t 2 , …, t n }, t i ∈ R d are certain, so we can obtain a stable RBFN. For more details, the interested reader can refer to [ 34 ] [ 35 ] [ 36 ] [ 37 ] [ 38 ] [ 39 ].…”
Section: Methodsmentioning
confidence: 99%
“…What is more important, MDS is based on geodesic distances that are calculated from the graph G E = ( V , C E ) and the training targets defined as T = { t 1 , t 2 , …, t n }, t i ∈ R d are certain, so we can obtain a stable RBFN. For more details, the interested reader can refer to [ 34 ] [ 35 ] [ 36 ] [ 37 ] [ 38 ] [ 39 ].…”
Section: Methodsmentioning
confidence: 99%
“…Many methods, such as mean filter, median filter, Fourier filter [8], partial differential equation (PDE) based method [9], radial basis function (RBF) method [10], can be used to denoise fringe patterns. Because its powerful noise elimination characteristic [11], RBF has been applied extensively to improve the image quality of interference patterns and phase maps [12].…”
Section: Introductionmentioning
confidence: 99%
“…Radial basis function (RBF) method, which is a powerful mathematical tool for scatter data approximation [19], can also be applied to filter the image. It has been used extensively in the context of multivariate interpolation including image interpolation from scattered data because of its advantage of involving a single independent variable regardless of the dimension of the problem [20][21][22].…”
Section: Introductionmentioning
confidence: 99%