Commits

Vincent Rabeux  committed 46bb500

Corrections Nicho et Anne.

  • Participants
  • Parent commits 2ada161

Comments (0)

Files changed (4)

File ICDAR2013/Presentation/frames/features.tex

 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 % fond-encre
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\section{Indentification and characterisation of some degradations}
+\section{Indentify and characterise degradations}
 
 \begin{frame}
 	\tableofcontents[currentsection]
 
 
 
-\subsection{[Step 1-2] Algorithms errors and characterization of degradations.}
+\subsection{[Step 1] Algorithms errors and characterization of degradations.}
 \begin{frame}
 
-   \frametitle{[Step 1-2] Algorithms errors and characterization of degradations.}
+   \frametitle{[Step 1] Algorithms errors and characterization of degradations.}
    
 	\gtwosides{1}{./imgs/annalysePerturbationFondEncre/grandTache.png}{./imgs/annalysePerturbationFondEncre/H03.png}
 	\gtwosides{2}{./imgs/annalysePerturbationFondEncre/grandTacheBinGlobal.png}{./imgs/annalysePerturbationFondEncre/bruitsBinLocalSauvola.png}
 	\gtwosides{3}{./imgs/annalysePerturbationFondEncre/grandTacheBinGlobal.png}{./imgs/annalysePerturbationFondEncre/bruitsBinLocalSauvola.png}
 
 \only<3>{
-	Algorithms fail depending on the following degradations characteristics :
+	Algorithms errors depend on the following degradations characteristics :
 	\begin{itemize}
 		\item Quantity.
 		\item Intensity.
 
 
 
-\subsection{[Step 3] Ink, degradations and background pixels extraction}
+\subsection{[Step 2] Ink, degradations and background pixels extraction.}
 
 \begin{frame}
 
-   \frametitle{[Step 3] Ink, degradations and background pixels extraction}
+   \frametitle{[Step 2] Ink, degradations and background pixels extraction}
 
 \textbf{	Extraction of 3 layers \cite{moghaddam2009low} : ink, degradations and background.}
 	
 %\end{frame}		
 
 
-\subsection{[Step 4] Features definition}
+\subsection{[Step 3] Features definition.}
 
 \begin{frame}
 
-   \frametitle{[Step 4] Features definition}
-  	\framesubtitle{Global features}   
+   \frametitle{[Step 3] Features definition}
+  	\framesubtitle{\textbf{15} Global features}      
 
 \textbf{Characterization of the overall distribution of the different layers.}
 	
 
 
 \begin{frame}
-   \frametitle{[Step 4] Features definition}
-  	\framesubtitle{Global features}   
+   \frametitle{[Step 3] Features definition}
+  	\framesubtitle{\textbf{15} Global features}   
 
 	\begin{enumerate}
 		\item Distance between the ink average grayscale and the degradations average grayscale. 
 \end{frame}	
 
 \begin{frame}
-   \frametitle{[Step 4] Features definition}
-  	\framesubtitle{Global features}   
+   \frametitle{[Step 3] Features definition}
+  	\framesubtitle{\textbf{15} Global features}   
 
-	The amount of degradation of pixels (with respect to the amount of ink).
+	The amount of degradation pixels (with proportion to the amount of ink).
 
 \begin{center}
 \gtwosides{1}{./imgs/mesures/explicationQuantite.png}{./imgs/mesures/explicationQuantite1.png}
 
 
 \begin{frame}
-   \frametitle{[Step 4] Features definition}
-  	\framesubtitle{Local features}   
+   \frametitle{[Step 3] Features definition}
+  	\framesubtitle{\textbf{3} Local features}   
 
 
 	\textbf{Localization} of degradations pixels in regards to the localization of ink pixels. \\

File ICDAR2013/Presentation/frames/intro.tex

 
 
 \begin{frame}
-\frametitle{Choose the best algorithm depending on the image degradation.}
+\frametitle{How to choose the best algorithm depending on the image degradation ?}
 
 \begin{center}
 \gframe{1}{./imgs/diffMethodesBinarICRAD/chooseAlgo0.png}
 	
 	\begin{exampleblock}{Predicting algorithm performance.}
 	\begin{enumerate} 
-		\item  \textbf{Indentification} and \textbf{characterisation} of some degradations in the document image.
-		\item  Use the obtained features to \textbf{predict} the algorithm performances.
+		\item  \textbf{Identify} and \textbf{characterise} degradations in the document image.
+		\item  Use features to \textbf{predict} the algorithm performances.
 		\item [=>] \textbf{Select} the most effective algorithm for each image.
 	\end{enumerate}
 	\end{exampleblock}

File ICDAR2013/Presentation/frames/prediction.tex

 %\end{frame}
 
 
-\subsection{Prédicting binarization methods performances.}
+\subsection{Predicting binarization methods performances.}
 
 \begin{frame}
    \frametitle{Selected binarization methods}
 
-\textbf{11 binarization mehods} selected :
+\textbf{11 binarization methods} selected :
 	\begin{enumerate}
 	\item Globals :
 		\begin{itemize}
 \begin{frame}
    \frametitle{The training and validation dataset.}
 
-\textbf{Goal :} Predict the performance of a binarization method for each images.\\
+\textbf{Goal :} To predict the performance of a binarization method for each image.\\
 	\begin{itemize}
 
 	\item Ground Truth (DIBCO \& H-DIBCO) :\\
 
 \begin{columns}
 \begin{column}[l]{5cm}
-	 \emph{Ground-Truth (best case)} : 
+	 Ground-Truth (best case) : 
 	 \footnotesize{
 	\begin{tabular}{|c|c|}
 	\hline

File ICDAR2013/Presentation/imgs/predValidation/sauvola_fscore_prediction_ann.png

Old
Old image
New
New image