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\section{Methods}  The abbreviation \textsc{skv} when applied to auditory signals was derived from \textbf{SK}ewness over \textbf{V}ariable time, reflecting the measure of asymmetry, the \textit{Skewness} or \textit{third normalized moment}, and the technique of varying the time window over which this value was calculated. For image processing the \textbf{V} will stand for \textbf{V}ariable spatial frequency which also relates to the size of the window used.  The simplest form of the algorithm was used for all the results in this paper. For results derived from monochrome images each pixel is defined by two coordinates $i$ and $j$ are the row and column positions of the pixel respectively, and a single value $k$ that is the value of the pixel on the gray-scale from 0 (black) to 1 (white). Images are processed on a pixel-by-pixel basis and the \textsc{skv} value of each pixels is calculated thus:  \begin{enumerate}  \item assemble the vector $\vec{k}_{j}$ of values for a horizontal window of $n$ contiguous pixels $k_{[i,j; i,j+1; i,j+n-1]}$