Article: stats table heading

Article/Fig_auto/readme.txt

+Obtention du detail :
+Sur gimp detourer la zone (528, 430) (660, 480)

Article/Fig_synth/statsTable.tex

 \begin{tabular}{|l||rcl|rcl|}
 \hline
+Detector : & \multicolumn{3}{c|}{old} & \multicolumn{3}{c|}{new} \\
+\hline
 Amount of detected segments per image
 & 21.22 & $\pm$ & 5.32 & 27.33 & $\pm$ & 6.38 \\
 Amount of detected long segments per image

Article/expeAuto.tex

@@ -7,9 +7,9 @@ the mean length $L$ and the mean width $W$ of the detected segments.
 For the sake of objectivity, these results are also compared to the same
 measurements made on the image data base used for the CannyLine line
 segment detector \cite{LuAl15}.
-The table \RefTab{tab:auto} gives the measures obtained on one of the
-selected images (\RefFig{fig:auto}) and the result of a systematic test
-on the whole CannyLine data base.
+\RefTab{tab:auto} gives the measures obtained on one of the selected images
+(\RefFig{fig:auto}) and the result of a systematic test on the whole
+CannyLine data base.
 \begin{figure}[h]
 %\center
   \begin{tabular}{

Article/method.tex

@@ -38,7 +38,7 @@ application needs. Too short, too sparse ot too fragmented segments
 can be rejected. Length, sparsity or fragmentation thresholds are
 intuitive parameters left at the end user disposal.
 None of these tests are activated for the experimental stage in order
-to put forward achievable perfomance.
+to put forward achievable performance.
 
 \subsection{Adaptive directional scan}
 
@@ -198,7 +198,7 @@ the two opposite edges of a thin straight object.
            On that very textured image, they are much shorter than the whole
            join detected in line selection mode.
            Blurred segment points are drawn in black color, and the enclosing
-           straight segment with minimal width in blue.}
+           straight segments in blue.}
   \label{fig:edgeDir}
 \end{figure}
 

Article/notions.tex

@@ -16,9 +16,8 @@ $0 \leq ax + by - c < \nu$.
 
 In the following, we note $\delta(\mathcal{L}) = b/a$ the slope of
 digital line $\mathcal{L}$, $w(\mathcal{L}) = \nu$ its arithmetical width,
-$h(\mathcal{L}) = c$ its {\it shift} to origin, and
-$p(\mathcal{L}) = max(|a|,|b|)$ its period (i.e. the length of its
-periodic pattern).
+$h(\mathcal{L}) = c$ its shift to origin, and $p(\mathcal{L}) = max(|a|,|b|)$
+its period (i.e. the length of its periodic pattern).
 When $\nu = p(\mathcal{L})$, then $\mathcal{L}$ is the narrowest 8-connected
 line and is called a naive line.