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Before accomplishing the matching, histogram equalization, inversion of shadow template, and Fourier Fast Transformation are applied to both templates.
When the observed time series presents a trend and heteroscedasticity, differencing and power transformation are applied to the data to remove the trend and stabilize the variance before the ARIMA model can be fitted.
As one of the data processing steps recommended in [ 13], logarithmic transformation are applied on microarray datasets: base 10 log for data derived from oligonucleotide (Affymetrix) platform and base 2 log for data derived from cDNA (two-color) platform.
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Logarithmic transformation was applied to transform skewed data to correct for overdispersion.
Affine transformation is applied to all matched pairs.
A contrast stretching transformation is applied to this image.
Finally, a histogram transformation is applied to highlight the crack.
To get the final result, inverse IHS transformation is applied.
Logarithm and Box Cox transformation were applied to achieve normality.
The same transformation was applied to all other diffusion parameters.
Logarithm transformation was applied to all cytokine data before statistical analysis.
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