From 6403fc9107fb734a295b77778b6cd97a7ce39bcf Mon Sep 17 00:00:00 2001
From: Jordi Inglada <jordi.inglada@orfeo-toolbox.org>
Date: Thu, 6 Jul 2006 07:32:16 +0000
Subject: [PATCH] Suppression trash dans filtering
---
SoftwareGuide/Latex/Filtering.tex | 23 -----------------------
1 file changed, 23 deletions(-)
diff --git a/SoftwareGuide/Latex/Filtering.tex b/SoftwareGuide/Latex/Filtering.tex
index 3e692165c2..50855e48ed 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}.
-
-
--
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