deletions | additions       diff --git a/section_Methods_For_results_derived__.tex b/section_Methods_For_results_derived__.tex  index 90c0110..dd93873 100644  --- a/section_Methods_For_results_derived__.tex  +++ b/section_Methods_For_results_derived__.tex 
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\section{Methods}  \subsection{Algorithm}  For results derived from monochrome images each pixel is defined by three values; two coordinates $i$ and $j$, 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 the number of pixels $m$ corresponding to half the required window size $w$ is calculated: $m = \mathrm{floor}(\frac{w}{2})$ 
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In order to compare results from pictures of different sizes and resolutions the window size will be stated not 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.  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 applies to one or more, or some combination of the RGB values. \subsection{Images}