
\begin{figure}[H]
	\centering
	\includegraphics[width=10cm]{report/results/filtered.PNG}
	\caption{Image illustrating images of filtered data with filter size 13}
	\label{filtered}
\end{figure}

The framework developed produces BMP images of slices along the different dimensions of the data cube. In Figure \ref{filtered} one can see the results of filtering with a size 13 filter. The filter sizes used in testing are 5, 9, 13, 17 and 21. This is common for all results further on. The size of the filter introduces more work since it means that each pixel is now effected by more neighboring pixels, but it also enhances the effect of the filter. In this case the bigger the filter the better the blur.

\begin{figure}[H]
	\centering
	\includegraphics[width=15cm]{report/results/3dimage.PNG}
	\caption{Image illustrating images of filtered data in 3 dimensions}
	\label{3dimages}
\end{figure}

Other than the standard two dimensional BMP images, there has been some experimenting with some other representation of the data. Such as a three dimensional representation of the cube before and after it is filtered, see Figure \ref{3dimages}. This might not be very interesting because the data of the cube here is not represented as a volume but rather a shell, since one can only see the outer most values. Another project this year is experimenting with ray-tracing and volume representation \cite{holger}. Using the volume representation code and inserting the filtered data into it gives the Figure \ref{voxel}, which shows a clear 3 dimensional blur effect. The filter used here is 21x21x21 floats large.

\begin{figure}[H]
	\centering
	\includegraphics[width=14cm]{report/results/voxel.PNG}
	\caption{Image illustrating a ray traced volume rendering of filtered data. With permission from \cite{holger}}
	\label{voxel}
\end{figure}

The concern of border effects has been repeated often in the report with special emphasis on how it effects the output data. Figure \ref{border} shows the visual effcts of not accounting for border values. One can clearly see that the borders add noise and corrupt the values of the data such taht they are no longer valid.

\begin{figure}[H]
	\centering
	\includegraphics[width=12cm]{report/results/bordereffect.png}
	\caption{Image illustrating the border effect one can obtain if border data is not accounted for}
	\label{border}
\end{figure}