diff --git a/SoftwareGuide/Examples/CMakeLists.txt b/SoftwareGuide/Examples/CMakeLists.txt
index ab11ceb84f0e731aafabfe40afcb44953912eedc..0b3b02338da607c39d76218d0880f758bdc3d0da 100644
--- a/SoftwareGuide/Examples/CMakeLists.txt
+++ b/SoftwareGuide/Examples/CMakeLists.txt
@@ -196,6 +196,8 @@ SET( OTB_EXAMPLES_SRCS
   ${OTB_SOURCE_DIR}/Examples/Filtering/DiscreteGaussianImageFilter.cxx
   ${OTB_SOURCE_DIR}/Examples/Filtering/GradientAnisotropicDiffusionImageFilter.cxx
   ${OTB_SOURCE_DIR}/Examples/Filtering/DanielssonDistanceMapImageFilter.cxx
+  ${OTB_SOURCE_DIR}/Examples/Filtering/MathematicalMorphologyBinaryFilters.cxx
+  ${OTB_SOURCE_DIR}/Examples/Filtering/MathematicalMorphologyGrayscaleFilters.cxx
   ${OTB_SOURCE_DIR}/Examples/BasicFilters/LeeImageFilter.cxx
   ${OTB_SOURCE_DIR}/Examples/FeatureExtraction/AlignmentsExample.cxx
   ${OTB_SOURCE_DIR}/Examples/FeatureExtraction/RatioLineDetectorExample.cxx
diff --git a/SoftwareGuide/Latex/Filtering.tex b/SoftwareGuide/Latex/Filtering.tex
index bac4df1490ad0e78c7702288c9e3f1ab0cb069f2..3e692165c22361b79bbc987aeeeebd33b03dcd94 100644
--- a/SoftwareGuide/Latex/Filtering.tex
+++ b/SoftwareGuide/Latex/Filtering.tex
@@ -169,30 +169,30 @@ advantage of this construction. (See Chapter
 \fi
 
 
-%% \subsection{Mathematical Morphology}
-%% \label{sec:MathematicalMorphology}
+\subsection{Mathematical Morphology}
+\label{sec:MathematicalMorphology}
 
-%% Mathematical morphology has proved to be a powerful resource for image
-%% processing and analysis \cite{Serra1982}. ITK implements mathematical
-%% morphology filters using NeighborhoodIterators and
-%% \doxygen{itk}{NeighborhoodOperator}s.  The toolkit contains two types of image
-%% morphology algorithms, filters that operate on binary images and filters that
-%% operate on grayscale images.
+Mathematical morphology has proved to be a powerful resource for image
+processing and analysis \cite{Serra1982}. ITK implements mathematical
+morphology filters using NeighborhoodIterators and
+\doxygen{itk}{NeighborhoodOperator}s.  The toolkit contains two types of image
+morphology algorithms, filters that operate on binary images and filters that
+operate on grayscale images.
 
-%% \subsubsection{Binary Filters}
-%% \label{sec:MathematicalMorphologyBinaryFilters}
+\subsubsection{Binary Filters}
+\label{sec:MathematicalMorphologyBinaryFilters}
 
-%% \ifitkFullVersion
-%% %\input{MathematicalMorphologyBinaryFilters.tex}
-%% \fi
+\ifitkFullVersion
+\input{MathematicalMorphologyBinaryFilters.tex}
+\fi
 
 
-%% \subsubsection{Grayscale Filters}
-%% \label{sec:MathematicalMorphologyGrayscaleFilters}
+\subsubsection{Grayscale Filters}
+\label{sec:MathematicalMorphologyGrayscaleFilters}
 
-%% \ifitkFullVersion
-%% %\input{MathematicalMorphologyGrayscaleFilters.tex}
-%% \fi
+\ifitkFullVersion
+\input{MathematicalMorphologyGrayscaleFilters.tex}
+\fi
 
 
 %% \subsection{Voting Filters}