diff --git a/SoftwareGuide/Latex/Filtering.tex b/SoftwareGuide/Latex/Filtering.tex
index 3e692165c22361b79bbc987aeeeebd33b03dcd94..50855e48edd0b6f0ab262cb65e205f15841f7b99 100644
--- a/SoftwareGuide/Latex/Filtering.tex
+++ b/SoftwareGuide/Latex/Filtering.tex
@@ -543,27 +543,4 @@ filters that approximate the convolution with a Gaussian
 
 
 
-%% \section{Filtrage de voisinage}
-%% \label{sec:NeighborhoodFilters}
-
-
-%% \subsection{Filtre Moyen}
-%% \label{sec:MeanFilter}
-
-%% \ifitkFullVersion
-%% %\input{MeanImageFilter.tex}
-%% \fi
-
-
-%% The typical effect of median filtration on a noisy digital image is a dramatic reduction in impulse noise spikes. The filter also tends to preserve brightness differences across signal steps, resulting in reduced blurring of regional boundaries. The filter also tends to preserve the positions of boundaries in an image.
-
-%% Figure \ref{fig:BinaryMedianImageFilterOutputMultipleIterations} below shows the effect of running the median filter with a 3x3 classical window size 
-%% 1, 10 and 50 times. There is a tradeoff in noise reduction and the sharpness of the image when the window size is increased\begin{figure}
-%%   \center
-%%   \includegraphics[width=0.50\textwidth]{itkLogo.eps}
-%%   \itkcaption[Caption]{Image de tests : temporaire !!!!}
-%%   \label{fig:itkLogo}
-%% \end{figure}.
-
-