Time Domain Filtering of Two-Dimensional Fluorescence Data.
Interim technical rept.,
EMORY UNIV ATLANTA GA DEPT OF CHEMISTRY
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Four time domain filtering methods are applied to simulated and experimental two dimensional fluorescence data in order to evaluate their performance. The methods that were evaluated are 1 moving average, 2 Savitsky Golay polynomial smoothing, 3 Chebyshev filtering, and 4 Bicubic spline filtering. The methods are compared using mean square error analysis and the difference in the amplitudes of the filtered noisy and ideal data. The two dimensional version of the Savitsky Golay filtering and the spline method produced the best overall results. Keywords Time domain data filtering Image analysis Digital image processing Two dimensional data analysis Two dimensional fluorescence.
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