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\item the \textsc{skv} value of the pixel $\gamma_{i,j}$ is the mean of the two values $\frac{\gamma_h + \gamma_v}{2}$  \end{enumerate}  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:x}). 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 longest side.