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Commit c273293d authored by even's avatar even
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Article: stats table heading

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Obtention du detail :
Sur gimp detourer la zone (528, 430) (660, 480)
\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
......
......@@ -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}{
......
......@@ -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}
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......@@ -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.
......
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