Article: osterputz

Article/expe.tex

@@ -71,12 +71,12 @@ Results are given in \RefTab{tab:comp}.
 \begin{figure}[h]
 \center
   \begin{tabular}{c@{\hspace{0.2cm}}c@{\hspace{0.2cm}}c}
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928.png} &
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928_york.png} &
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928_lsd.png} \\
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928_ed.png} &
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928_canny.png} &
-    \includegraphics[width=0.32\textwidth]{Fig_york/P1020928_fbsd.png}
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928.png} &
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928_york.png} &
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928_lsd.png} \\
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928_ed.png} &
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928_canny.png} &
+    \includegraphics[width=0.32\textwidth]{Figures/P1020928_fbsd.png}
     \begin{picture}(1,1)(0,0)
       \put(-320,91.5){\circle{8}}
       \put(-202,91.5){\circle{8}}

Article/method.tex

@@ -52,7 +52,7 @@ The workflow of the detection process is summerized in the following figure.
 
 \begin{figure}[h]
 \center
-  \input{Fig_method/workflow}
+  \input{Tables/workflow}
   \caption{The main workflow of the detection process.}
   \label{fig:workflow}
 \end{figure}
@@ -103,9 +103,9 @@ the higher the probability gets to fail again on an escape from the scan strip.
 \begin{figure}[h]
 \center
   \begin{tabular}{c@{\hspace{0.2cm}}c@{\hspace{0.2cm}}c}
-    \includegraphics[width=0.24\textwidth]{Fig_notions/escapeLightFirst_half.png} &
-    \includegraphics[width=0.24\textwidth]{Fig_notions/escapeLightSecond_half.png} &
-    \includegraphics[width=0.48\textwidth]{Fig_notions/escapeLightThird_zoom.png}
+    \includegraphics[width=0.24\textwidth]{Figures/escapeLightFirst_half.png} &
+    \includegraphics[width=0.24\textwidth]{Figures/escapeLightSecond_half.png} &
+    \includegraphics[width=0.48\textwidth]{Figures/escapeLightThird_zoom.png}
     \begin{picture}(1,1)(0,0)
       {\color{dwhite}{
         \put(-307,4.5){\circle*{8}}
@@ -202,7 +202,7 @@ detection of all the segments crossed by the input stroke $AB$.
 In order to avoid multiple detections of the same edge, an occupancy mask,
 initially empty, collects the dilated points of all the blurred segments,
 so that these points can not be used any more.
-\input{Fig_method/algoMulti}
+\input{Tables/algoMulti}
 
 First the positions $M_j$ of the prominent local maxima of the gradient
 magnitude found under the stroke are sorted from the highest to the lowest.

Article/notions.tex

@@ -47,7 +47,7 @@ point $P_i$ is thus controlled by the recognition test $\mu_i < \varepsilon$.
 
 \begin{figure}[h]
 \center
-  \input{Fig_notions/bswidth}
+  \input{Tables/bswidth}
   \caption{A growing blurred segment $\mathcal{B}_i$ :
 when adding the new point $P_i$, the blurred segment minimal thickness
 augments from $\mu_{i-1}$ to $\mu_i$; if the new thickness $\mu_i$ exceeds
@@ -93,7 +93,7 @@ At each iteration $i$, the scans $S_i$ and $S_{-i}$ are successively processed.
 
 \begin{figure}[h]
 \center
-  \includegraphics[width=0.8\textwidth]{Fig_notions/scanstrip.eps}
+  \includegraphics[width=0.8\textwidth]{Figures/scanstrip.eps}
      \begin{picture}(1,1)(0,0)
      \thicklines
      \put(-176,112){\vector(2,-1){30}}