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A proposal of Fourier-Bessel expansion with optimized ensembles of bases to analyse two dimensional image.

K YamasakiA FujisawaY Nagashima
Published in: The Review of scientific instruments (2018)
It is a critical issue to find the best set of fitting function bases in mode structural analysis of two dimensional images like plasma emission profiles. The paper proposes a method to optimize a set of the bases in the case of Fourier-Bessel function series, using their orthonormal property, for more efficient and precise analysis. The method is applied on a tomography image of plasma emission obtained with the Maximum-likelihood expectation maximization method in a linear cylindrical device. The result demonstrates the excellency of the method that realizes the smaller residual error and minimum Akaike information criterion using smaller number of fitting function bases.
Keyphrases
  • deep learning
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  • optical coherence tomography
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