this is for holding javascript data
Martin Coath edited section_Methods_For_results_derived__.tex
about 8 years ago
Commit id: a3062bf45520816e500cd4b8a78449f1dcb89dda
deletions | additions
diff --git a/section_Methods_For_results_derived__.tex b/section_Methods_For_results_derived__.tex
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\begin{enumerate}
\item the number of pixels $m$ corresponding to half the required window size $w$ is calculated: $m = \mathrm{floor}(\frac{w}{2})$
\item thus the working window size is $n = 2 \cdot m+1$
\item assemble the vector $\vec{k}_{j}$ of values for a horizontal window of $n$ contiguous pixels
$k_{[i,j-; i,j+1; i,j+n-1]}$ $k_{[i,j-m : i,j : i,j+m]}$
\item repeat with $\vec{k}_{i}$, a vector of values for a vertical window of $n$ pixels
$k_{[i,j; i+1,j; i+n-1,j]}$ $k_{[i-m,j : i,j : i+m,j]}$
\item both vectors are normalized, so they can be treated as distributions, and the Skewness $\gamma$ of each distribution, \textit{i.e.} the asymmetry in the gray-scale values in both direction, is calculated, $\gamma_j$ and $\gamma_i$
\item the \textsc{skv} value of the pixel is the larger of the two values $\max(\gamma_j, \gamma_i)$
\end{enumerate}