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There will be anomalies in the results arising from the simplicity of this method, the most obvious of which is that features that are extended along the horizontal or vertical axis, but not both (that is thin horizontal and vertical lines) will enjoy a privileged position (see Figure~\ref{fig:cardol}). This problem, if it is a problem, can be easily overcome by employing a more sophisticated variant of the method.  In order to compare results from a range of pictures the window size will not be reported in pixels, but as the number of windows along the longest side of the image. For example, if a picture is 640 $\times$ 480 pixels and the \textsc{skv} is calculated with a window size of 64 pixels then this will be written as \textsc{skv}$_{10}$ as there are 10 windows along the window size is one tenth of  the longest side. For colour pictures each pixel is defined by its coordinates $i$ and $j$ and three values $k_R$, $k_G$, $k_B$ representing the colour of the pixel. In the results for colour pictures it will be made clear if the method has been applied to one or more, or some combination of the RGB values.