diff --git a/Article/Fig_auto/autoNew.png b/Article/Fig_auto/autoNew.png
new file mode 100644
index 0000000000000000000000000000000000000000..2e25eeedb09b7b91bee71c6b021f80381b9f9a8d
Binary files /dev/null and b/Article/Fig_auto/autoNew.png differ
diff --git a/Article/Fig_auto/autoOld.png b/Article/Fig_auto/autoOld.png
new file mode 100644
index 0000000000000000000000000000000000000000..aa094fa2d44b4a74086b9b0f1c3b50c424573c40
Binary files /dev/null and b/Article/Fig_auto/autoOld.png differ
diff --git a/Article/Fig_auto/buro.png b/Article/Fig_auto/buro.png
new file mode 100755
index 0000000000000000000000000000000000000000..b3aa23a4ff700d29efcabcbbb50a917c9fdb5ea0
Binary files /dev/null and b/Article/Fig_auto/buro.png differ
diff --git a/Article/Fig_auto/perfTable.tex b/Article/Fig_auto/perfTable.tex
new file mode 100644
index 0000000000000000000000000000000000000000..340391591adb7be344fb0dab636d0060e1e9802d
--- /dev/null
+++ b/Article/Fig_auto/perfTable.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{|l||r|r|r|r|r|}
+\hline
+Measure $M$ & \multicolumn{1}{c|}{$T$ (ms)} & \multicolumn{1}{c|}{$N$}
+& \multicolumn{1}{c|}{$N'$} & \multicolumn{1}{c|}{$L$ (pixels)}
+& \multicolumn{1}{c|}{$W$ (pixels)} \\
+\hline
+$M_{old}$ on image of \RefFig{fig:auto} & 32.8 & 341 & 98 & 37.0 & 2.54 \\
+$M_{new}$ on image of \RefFig{fig:auto} & 28.3 & 385 & 101 & 32.4 & 2.21 \\
+$M_{new}/M_{old}$ (\%) & \multicolumn{1}{l|}{86.3} & \multicolumn{1}{l|}{112.9}
+& \multicolumn{1}{l|}{103.1} & \multicolumn{1}{l|}{87.6}
+& \multicolumn{1}{l|}{87.0} \\
+\hline
+$M_{new}/M_{old}$ (\%) & & & & & \\
+on CannyLines images
+& 86.2 $\pm$ 2.3 & 109.8 $\pm$ 6.5 & 93.7 $\pm$ 7.1
+& 89.6 $\pm$ 5.4 & 84.8 $\pm$ 3.2 \\
+\hline
+\end{tabular}
diff --git a/Article/Fig_auto/perf_buro.txt b/Article/Fig_auto/perf_buro.txt
new file mode 100644
index 0000000000000000000000000000000000000000..af4792b9411d7f47398c4c59e3e6d2c93de435ad
--- /dev/null
+++ b/Article/Fig_auto/perf_buro.txt
@@ -0,0 +1,17 @@
+100
+800
+533
+2.83574
+1067
+385
+101
+32.3516
+2.2075
+2.23521
+3.2755
+993
+341
+96
+36.9635
+2.47546
+2.46527
diff --git a/Article/Fig_auto/perf_indoor01.txt b/Article/Fig_auto/perf_indoor01.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5272404113bbf7f65a70be01c4611b31542da588
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor01.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+5.88304
+2515
+885
+184
+28.6684
+2.20465
+2.34741
+7.02066
+2491
+842
+185
+30.447
+2.63768
+2.71501
diff --git a/Article/Fig_auto/perf_indoor02.txt b/Article/Fig_auto/perf_indoor02.txt
new file mode 100644
index 0000000000000000000000000000000000000000..06709e343df547caa5b7068c1f2f423470beac01
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor02.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.07273
+1660
+583
+160
+35.9415
+1.83767
+1.87356
+4.80078
+1616
+490
+167
+43.3079
+2.33574
+2.36902
diff --git a/Article/Fig_auto/perf_indoor03.txt b/Article/Fig_auto/perf_indoor03.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7e68cc2746aeee6df9e59da9b1ba70f8e1cf566d
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor03.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+3.95664
+1694
+599
+105
+27.2814
+2.14453
+2.18836
+4.55904
+1655
+563
+106
+29.1184
+2.54614
+2.58556
diff --git a/Article/Fig_auto/perf_indoor04.txt b/Article/Fig_auto/perf_indoor04.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f0beff79934df5a344f99f44387189a83165822a
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor04.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+2.17163
+862
+286
+86
+39.9587
+2.02305
+2.06118
+2.52306
+849
+241
+85
+48.6923
+2.38403
+2.40523
diff --git a/Article/Fig_auto/perf_indoor05.txt b/Article/Fig_auto/perf_indoor05.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4b889dd05ef1e8efec441058547508eef16056a9
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor05.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.31949
+1723
+682
+127
+26.3117
+2.22382
+2.29983
+5.13065
+1688
+632
+144
+28.7129
+2.48238
+2.49403
diff --git a/Article/Fig_auto/perf_indoor06.txt b/Article/Fig_auto/perf_indoor06.txt
new file mode 100644
index 0000000000000000000000000000000000000000..db58d034535c84c13e873c4bc6bd0a8dd6b2d8bf
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor06.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+3.98381
+1311
+535
+182
+44.0948
+1.85251
+1.86391
+4.60137
+1355
+432
+188
+53.3568
+2.1679
+2.13384
diff --git a/Article/Fig_auto/perf_indoor07.txt b/Article/Fig_auto/perf_indoor07.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cd24b05c078deceb551d65729638cd40dfa385c3
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor07.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.24092
+1617
+570
+144
+36.4232
+2.09775
+2.16465
+4.92683
+1475
+473
+139
+45.6733
+2.48646
+2.5674
diff --git a/Article/Fig_auto/perf_indoor08.txt b/Article/Fig_auto/perf_indoor08.txt
new file mode 100644
index 0000000000000000000000000000000000000000..ac59c576d089e173519dcebb809ee863f34955b9
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor08.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+5.36382
+2408
+858
+112
+23.5948
+2.37491
+2.36615
+6.35158
+2397
+785
+135
+25.7995
+2.81818
+2.87613
diff --git a/Article/Fig_auto/perf_indoor09.txt b/Article/Fig_auto/perf_indoor09.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1aa8d458674fc04aad03c37594a47a9f29f549ee
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor09.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+5.92288
+2567
+912
+150
+26.4498
+2.28031
+2.27631
+6.96198
+2534
+827
+156
+29.7376
+2.64478
+2.61663
diff --git a/Article/Fig_auto/perf_indoor10.txt b/Article/Fig_auto/perf_indoor10.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6065268350ff45902760a9b7b232271984d48867
--- /dev/null
+++ b/Article/Fig_auto/perf_indoor10.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+2.22735
+861
+290
+99
+41.5689
+2.01829
+1.99912
+2.73997
+833
+267
+100
+46.5214
+2.56589
+2.60468
diff --git a/Article/Fig_auto/perf_outdoor01.txt b/Article/Fig_auto/perf_outdoor01.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dbd4453b61f88d2f203b54dad88a1a06a76eb0e0
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor01.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.28481
+1844
+645
+129
+27.9251
+2.1593
+2.15284
+5.02513
+1768
+603
+136
+30.304
+2.59109
+2.59594
diff --git a/Article/Fig_auto/perf_outdoor02.txt b/Article/Fig_auto/perf_outdoor02.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a9393675bea2d045751f59ac3d332a83af03b810
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor02.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+6.63086
+3425
+1048
+112
+17.3362
+2.54585
+2.54915
+7.37776
+3325
+994
+114
+18.5365
+2.79166
+2.81694
diff --git a/Article/Fig_auto/perf_outdoor03.txt b/Article/Fig_auto/perf_outdoor03.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1c3b584327a79df16ec3ba375119a2c55f21ccad
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor03.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.60385
+2385
+700
+63
+18.2548
+2.5136
+2.42938
+5.08277
+2319
+690
+60
+18.6076
+2.88101
+2.88331
diff --git a/Article/Fig_auto/perf_outdoor04.txt b/Article/Fig_auto/perf_outdoor04.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e0766d1d45f2bded81ea2cf636763b611c2f7d1
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor04.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+5.6053
+2784
+850
+96
+17.8598
+2.465
+2.48193
+6.1922
+2654
+812
+108
+19.6992
+2.86479
+2.95971
diff --git a/Article/Fig_auto/perf_outdoor05.txt b/Article/Fig_auto/perf_outdoor05.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f256bc08c18b7cc2d1727e14a136dca06f785b4f
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor05.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+3.36607
+1585
+546
+79
+22.7956
+2.34473
+2.56395
+3.85006
+1500
+473
+89
+27.3854
+2.74847
+2.88978
diff --git a/Article/Fig_auto/perf_outdoor06.txt b/Article/Fig_auto/perf_outdoor06.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6eaf3a2adc92b3114a06de8cb2fcbc77160cc770
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor06.txt
@@ -0,0 +1,17 @@
+100
+640
+480
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+3803
+1096
+87
+17.6088
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+8.2095
+3674
+1126
+104
+17.6728
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diff --git a/Article/Fig_auto/perf_outdoor07.txt b/Article/Fig_auto/perf_outdoor07.txt
new file mode 100644
index 0000000000000000000000000000000000000000..078b54b0f1d92d203d6d61b38200781f423844f8
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor07.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+6.76378
+3011
+1094
+154
+24.1812
+2.29961
+2.5835
+7.8551
+2762
+977
+191
+28.5941
+2.69877
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diff --git a/Article/Fig_auto/perf_outdoor08.txt b/Article/Fig_auto/perf_outdoor08.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e6e5ed84584bce98f1f0d933c9a2c7ba615ec6cd
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor08.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+7.28897
+3520
+1113
+176
+23.2924
+2.3712
+2.43336
+8.29572
+3358
+1030
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diff --git a/Article/Fig_auto/perf_outdoor09.txt b/Article/Fig_auto/perf_outdoor09.txt
new file mode 100644
index 0000000000000000000000000000000000000000..559bdd8377204c5c4b511246e66be5b790c40e47
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor09.txt
@@ -0,0 +1,17 @@
+100
+640
+480
+4.20631
+1975
+653
+119
+25.8428
+1.99809
+1.94127
+4.86938
+1889
+596
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diff --git a/Article/Fig_auto/perf_outdoor10.txt b/Article/Fig_auto/perf_outdoor10.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9f0cdc545efe876d9a7f5f8e27e9c5193efc97c5
--- /dev/null
+++ b/Article/Fig_auto/perf_outdoor10.txt
@@ -0,0 +1,17 @@
+100
+640
+480
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+1793
+705
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+1747
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diff --git a/Article/Fig_synth/statsTable.tex b/Article/Fig_synth/statsTable.tex
index 497b19cc03e451a4545ec11d14ac0b80d30406be..2850f3c6da99ba3494d9d107c116723ffc4d084a 100644
--- a/Article/Fig_synth/statsTable.tex
+++ b/Article/Fig_synth/statsTable.tex
@@ -1,18 +1,18 @@
 \begin{tabular}{|l||rcl|rcl|}
 \hline
-Number of input segments per image
+Amount of detected segments per image
 & 21.22 & $\pm$ & 5.32 & 27.33 & $\pm$ & 6.38 \\
-Number of long input segments per image
+Amount of detected long segments per image
 & 10.90 & $\pm$ & 1.88 & 9.03 & $\pm$ & 2.15 \\
-Number of undetected segments per image
+Amount of undetected input segments per image
 & 1.15 & $\pm$ & 1.80 & 0.28 & $\pm$ & 0.56 \\
-Percentage of true segment area found
+Ratio of true detection (\%) : $\#(D\cap S)/\#S$
 & 96.83 & $\pm$ & 0.61 & 96.81 & $\pm$ & 0.62 \\
-Percentage of false segment area found
+Ratio of false detection (\%) : $\#(D\cap\overline{S})/\#S$
 & 6.9 & $\pm$ & 1.0 & 6.52 & $\pm$ & 0.94 \\
-Width difference (in pixels) to input segment
+Width difference (in pixels) to matched input segment
 & 2.08 & $\pm$ & 0.27 & 1.91 & $\pm$ & 0.24 \\
-Angle difference (in degrees) to input segment
+Angle difference (in degrees) to matched input segment
 & 0.87 & $\pm$ & 0.78 & 0.92 & $\pm$ & 0.75 \\
 Long segment angle difference (in degrees)
 & 0.40 & $\pm$ & 0.63 & 0.34 & $\pm$ & 0.60 \\
diff --git a/Article/expe.tex b/Article/expe.tex
index c6e3634e9668941ba2426951896da5643a1dd4d9..49090bd14587b139dca1365637f8fdaeae58f6e1 100755
--- a/Article/expe.tex
+++ b/Article/expe.tex
@@ -13,103 +13,6 @@ optimized basic routines.
 
 \input{expeHard}
 
-The first test compares the computation times of both detectors on a
-selection of input strokes (\RefFig{fig:buro}). Results are displayed
-in \RefTab{tab:cmpOldNew}.
-
-\begin{figure}[h]
-\center
-  \begin{tabular}{c@{\hspace{0.2cm}}c}
-    \includegraphics[width=0.49\textwidth]{Fig_expe/buroOld.png} &
-    \includegraphics[width=0.49\textwidth]{Fig_expe/buroNew.png}
-    \begin{picture}(1,1)
-      \put(-158,46){\circle{8}}
-      \put(-162,42){\makebox(8,8){\scriptsize 0}}
-      \put(-18,30){\circle{8}}
-      \put(-22,26){\makebox(8,8){\scriptsize 1}}
-      \put(-57,92){\circle{8}}
-      \put(-61,88){\makebox(8,8){\scriptsize 2}}
-      \put(-53,104){\circle{8}}
-      \put(-57,100){\makebox(8,8){\scriptsize 3}}
-      \put(-90,71){\circle{8}}
-      \put(-94,67){\makebox(8,8){\scriptsize 4}}
-      \put(-92,23){\circle{8}}
-      \put(-96,19){\makebox(8,8){\scriptsize 5}}
-      \put(-134,9){\circle{8}}
-      \put(-138,5){\makebox(8,8){\scriptsize 6}}
-      \put(-156,27){\circle{8}}
-      \put(-160,23){\makebox(8,8){\scriptsize 7}}
-      \put(-150,84){\circle{8}}
-      \put(-154,80){\makebox(8,8){\scriptsize 8}}
-      \put(-39,110){\circle{8}}
-      \put(-43,106){\makebox(8,8){\scriptsize 9}}
-    \end{picture}
-  \end{tabular}
-  \caption{Outputs of both former (on left) and new (on right) detectors
-           using a selection of input strokes.}
-  \label{fig:buro}
-\end{figure}
-
-\begin{table}
-\centering
-\begin{tabular}{|l||l|l|l|l|l|l|l|l|l|l|}
-\hline \multicolumn{1}{|r||}{Stroke \hspace{0.4cm}} &
-       \multicolumn{1}{c|}{1} & \multicolumn{1}{c|}{2} &
-       \multicolumn{1}{c|}{3} & \multicolumn{1}{c|}{4} &
-       \multicolumn{1}{c|}{5} & \multicolumn{1}{c|}{6} &
-       \multicolumn{1}{c|}{7} & \multicolumn{1}{c|}{8} &
-       \multicolumn{1}{c|}{9} & \multicolumn{1}{c|}{10} \\ \hline \hline
-with the former detector: \hspace{0.4cm}
-& 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 \\ \hline
-with the new detector: & & & & & & & & & & \\ \hline
-\end{tabular}
-\caption{Compared execution time in milliseconds between former and new
-detectors with the input strokes of \RefFig{fig:buro}.}
-\label{tab:cmpOldNew}
-\end{table}
-
-In the second series of tests, the execution times of both detectors were
-compared on the automatic detection of edges on a set of test images.
-Results are displayed for one of them (\RefFig{fig:evalAuto}).
-998 (resp. 822) blurred segments are extracted with the former
-(resp. new) detector on all images.
-The average blurred segment width is 5.06 pixels for the former detector,
-and 2.62 pixels for the new detector.
-The average execution time is 206 ms for the former detector,
-and 96 ms for the new detector.
-
-\begin{figure}[h]
-\center
-  \begin{tabular}{c@{\hspace{0.2cm}}c}
-    \includegraphics[width=0.49\textwidth]{Fig_expe/autoOld.png} &
-    \includegraphics[width=0.49\textwidth]{Fig_expe/autoNew.png}
-  \end{tabular}
-  \caption{Automatic edge detections on one of the test images with the
-former detector on the left, and the new detector on the right.}
-  \label{fig:evalAuto}
-\end{figure}
-
-The former detector does not estimate the edge width, but just circumscribes
-the edge with a blurred segment of assigned width.
-If the edge is very thin, the blurred segment is free to rotate around the
-extracted edge and the provided orientation is biased.
-Moreover it lets some space to incorporate additional spurious outliers,
-as illustrated in \RefFig{fig:outliers}.
-With the new appoach, a real estimation of the edge width is provided.
-The main risk of outlier incorporation remains at the beginning of the
-blurred segment expansion as long as the minimal width continues to grow
-and the assigned width has not been set to the detected segment minimal width.
-
-\begin{figure}[h]
-\center
-  \begin{tabular}{c@{\hspace{0.2cm}}c}
-    \includegraphics[width=0.49\textwidth]{Fig_expe/outliersOld_zoom.png} &
-    \includegraphics[width=0.49\textwidth]{Fig_expe/outliersNew_zoom.png}
-  \end{tabular}
-  \caption{Potential insertion of outliers for both detectors:
-On the left, the fixed width of the former detector always lets opportunities
-of outlier insertions. On the right, the new detector restricts these
-opportunities to the blurred segment early analysis stage.}
-  \label{fig:outliers}
-\end{figure}
+\input{expeAuto}
 
+%\input{expeOld}
diff --git a/Article/expeAuto.tex b/Article/expeAuto.tex
new file mode 100755
index 0000000000000000000000000000000000000000..458972126a09a22862af9483b9420bb2b2216c3f
--- /dev/null
+++ b/Article/expeAuto.tex
@@ -0,0 +1,50 @@
+
+The third series of tests aims at evaluating the performance of the new
+detector wrt the previous one on a selection of more standard images.
+Compared measures $M$ are the execution time $T$, the amount $N$ of detected
+blurred segments, the amount $N'$ of long (larger than 40 pixels) segments,
+the mean length $L$ and the mean width $W$ of the detected segments.
+In order to be objective, 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.
+The new detector is faster and provides more segments.
+These segments are mainly shorter and thinner.
+The control of the assigned width to fit to the detected segment width
+has the side effect of blocking the segment expansion when the remote parts
+are more noisy.
+The relevance of this behavior depends strongly on application requirements.
+\begin{figure}[h]
+%\center
+  \begin{tabular}{
+      c@{\hspace{0.1cm}}c@{\hspace{0.1cm}}c@{\hspace{0.1cm}}}
+    \includegraphics[width=0.32\textwidth]{Fig_auto/buro.png} &
+    \includegraphics[width=0.32\textwidth]{Fig_auto/autoOld.png} &
+    \includegraphics[width=0.32\textwidth]{Fig_auto/autoNew.png}
+    \begin{picture}(1,1)
+      {\color{dwhite}{
+        \put(-286,4.5){\circle*{8}}
+        \put(-171,4.5){\circle*{8}}
+        \put(-58,4.5){\circle*{8}}
+      }}
+      \put(-288.5,2){a}
+      \put(-173.5,2){b}
+      \put(-60.5,2){c}
+    \end{picture}
+  \end{tabular}
+  \caption{Automatic detection of segments:
+           a) input image,
+           b) results of the old detector,
+           c) results of the new detector.}
+  \label{fig:auto}
+\end{figure}
+\begin{table}
+\centering
+\input{Fig_auto/perfTable}
+\caption{Measured performance of both detectors on standard images.
+         $M_{old}$ (resp. $M_{new}$) denotes the measure obtained with
+         the previous (resp. new) detector.}
+\label{tab:auto}
+\end{table}
diff --git a/Article/expeHard.tex b/Article/expeHard.tex
index 953064d4e6fe6042f43549fe595356c010b568f3..d7ff5921a24e948649cafe5094c80b56b5e6ca9f 100755
--- a/Article/expeHard.tex
+++ b/Article/expeHard.tex
@@ -1,6 +1,6 @@
 
-The second test (\RefFig{fig:hard}) compares the performance of both
-detectors on a quite difficult image with a lot of gradient noise. 
+The second test (\RefFig{fig:hard}) visually compares the results of
+both detectors on quite difficult images with a lot of gradient noise. 
 The new detector provides less outliers and misaligned segments, and
 globally more relevant informations to infere the structure of the brick wall.
 \begin{figure}[h]
@@ -21,9 +21,9 @@ globally more relevant informations to infere the structure of the brick wall.
       \put(-60.5,2){c}
     \end{picture}
   \end{tabular}
-  \caption{Evaluation on a quite textured image:
-           1) imput image,
-           2) results of the old detector,
-           3) results of the new detector.}
+  \caption{Detection results on quite textured images:
+           1) one of the tested images,
+           2) the segments found by the old detector,
+           3) and the one found by the new detector.}
   \label{fig:hard}
 \end{figure}
diff --git a/Article/expeOld.tex b/Article/expeOld.tex
new file mode 100644
index 0000000000000000000000000000000000000000..3ed64fbdd3ed941d893f9c402210b79bb46862b6
--- /dev/null
+++ b/Article/expeOld.tex
@@ -0,0 +1,100 @@
+The first test compares the computation times of both detectors on a
+selection of input strokes (\RefFig{fig:buro}). Results are displayed
+in \RefTab{tab:cmpOldNew}.
+
+\begin{figure}[h]
+\center
+  \begin{tabular}{c@{\hspace{0.2cm}}c}
+    \includegraphics[width=0.49\textwidth]{Fig_expe/buroOld.png} &
+    \includegraphics[width=0.49\textwidth]{Fig_expe/buroNew.png}
+    \begin{picture}(1,1)
+      \put(-158,46){\circle{8}}
+      \put(-162,42){\makebox(8,8){\scriptsize 0}}
+      \put(-18,30){\circle{8}}
+      \put(-22,26){\makebox(8,8){\scriptsize 1}}
+      \put(-57,92){\circle{8}}
+      \put(-61,88){\makebox(8,8){\scriptsize 2}}
+      \put(-53,104){\circle{8}}
+      \put(-57,100){\makebox(8,8){\scriptsize 3}}
+      \put(-90,71){\circle{8}}
+      \put(-94,67){\makebox(8,8){\scriptsize 4}}
+      \put(-92,23){\circle{8}}
+      \put(-96,19){\makebox(8,8){\scriptsize 5}}
+      \put(-134,9){\circle{8}}
+      \put(-138,5){\makebox(8,8){\scriptsize 6}}
+      \put(-156,27){\circle{8}}
+      \put(-160,23){\makebox(8,8){\scriptsize 7}}
+      \put(-150,84){\circle{8}}
+      \put(-154,80){\makebox(8,8){\scriptsize 8}}
+      \put(-39,110){\circle{8}}
+      \put(-43,106){\makebox(8,8){\scriptsize 9}}
+    \end{picture}
+  \end{tabular}
+  \caption{Outputs of both former (on left) and new (on right) detectors
+           using a selection of input strokes.}
+  \label{fig:buro}
+\end{figure}
+
+\begin{table}
+\centering
+\begin{tabular}{|l||l|l|l|l|l|l|l|l|l|l|}
+\hline \multicolumn{1}{|r||}{Stroke \hspace{0.4cm}} &
+       \multicolumn{1}{c|}{1} & \multicolumn{1}{c|}{2} &
+       \multicolumn{1}{c|}{3} & \multicolumn{1}{c|}{4} &
+       \multicolumn{1}{c|}{5} & \multicolumn{1}{c|}{6} &
+       \multicolumn{1}{c|}{7} & \multicolumn{1}{c|}{8} &
+       \multicolumn{1}{c|}{9} & \multicolumn{1}{c|}{10} \\ \hline \hline
+with the former detector: \hspace{0.4cm}
+& 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 & 18.2 \\ \hline
+with the new detector: & & & & & & & & & & \\ \hline
+\end{tabular}
+\caption{Compared execution time in milliseconds between former and new
+detectors with the input strokes of \RefFig{fig:buro}.}
+\label{tab:cmpOldNew}
+\end{table}
+
+In the second series of tests, the execution times of both detectors were
+compared on the automatic detection of edges on a set of test images.
+Results are displayed for one of them (\RefFig{fig:evalAuto}).
+998 (resp. 822) blurred segments are extracted with the former
+(resp. new) detector on all images.
+The average blurred segment width is 5.06 pixels for the former detector,
+and 2.62 pixels for the new detector.
+The average execution time is 206 ms for the former detector,
+and 96 ms for the new detector.
+
+\begin{figure}[h]
+\center
+  \begin{tabular}{c@{\hspace{0.2cm}}c}
+    \includegraphics[width=0.49\textwidth]{Fig_expe/autoOld.png} &
+    \includegraphics[width=0.49\textwidth]{Fig_expe/autoNew.png}
+  \end{tabular}
+  \caption{Automatic edge detections on one of the test images with the
+former detector on the left, and the new detector on the right.}
+  \label{fig:evalAuto}
+\end{figure}
+
+The former detector does not estimate the edge width, but just circumscribes
+the edge with a blurred segment of assigned width.
+If the edge is very thin, the blurred segment is free to rotate around the
+extracted edge and the provided orientation is biased.
+Moreover it lets some space to incorporate additional spurious outliers,
+as illustrated in \RefFig{fig:outliers}.
+With the new appoach, a real estimation of the edge width is provided.
+The main risk of outlier incorporation remains at the beginning of the
+blurred segment expansion as long as the minimal width continues to grow
+and the assigned width has not been set to the detected segment minimal width.
+
+\begin{figure}[h]
+\center
+  \begin{tabular}{c@{\hspace{0.2cm}}c}
+    \includegraphics[width=0.49\textwidth]{Fig_expe/outliersOld_zoom.png} &
+    \includegraphics[width=0.49\textwidth]{Fig_expe/outliersNew_zoom.png}
+  \end{tabular}
+  \caption{Potential insertion of outliers for both detectors:
+On the left, the fixed width of the former detector always lets opportunities
+of outlier insertions. On the right, the new detector restricts these
+opportunities to the blurred segment early analysis stage.}
+  \label{fig:outliers}
+\end{figure}
+
diff --git a/Article/expeSynthese.tex b/Article/expeSynthese.tex
index 358904731a68bf481744151fbc490dbaafa5466d..26c512f19d7ebd839eb121d3c9aea94edf65a5e0 100755
--- a/Article/expeSynthese.tex
+++ b/Article/expeSynthese.tex
@@ -1,13 +1,13 @@
 
 The first test (\RefFig{fig:synth}) compares the performance of both
 detectors on a set of 1000 synthesized images containing 10 randomly
-placed straight segments with random width between 1 and 4 pixels.
+placed input segments with random width between 1 and 4 pixels.
 Altough this perfect world context with low gradient noise tends to soften
 the old detector weaknesses, the results of \RefTab{tab:synth} show slightly
-better measurements of width and angle on long segments for the new detector.
+better width and angle measurements on long segments for the new detector.
 The new detector generates more small segments that degrade the angle
 estimations, but it produces a smaller amount of false detections and
-succeeds in finding most of the segments.
+succeeds in finding most of the input segments.
 \begin{figure}[h]
 %\center
   \begin{tabular}{
@@ -18,24 +18,26 @@ succeeds in finding most of the segments.
     \includegraphics[width=0.19\textwidth]{Fig_synth/statsnewPoints.png} &
     \includegraphics[width=0.19\textwidth]{Fig_synth/statsnewBounds.png}
     \begin{picture}(1,1)
-      \put(-310,0){1)}
-      \put(-240,0){2)}
-      \put(-170,0){3)}
-      \put(-100,0){4)}
-      \put(-30,0){5)}
+      \put(-310,0){a)}
+      \put(-240,0){b)}
+      \put(-170,0){c)}
+      \put(-100,0){d)}
+      \put(-30,0){e)}
     \end{picture}
   \end{tabular}
   \caption{Evaluation on synthesized images:
-           1) one of the test images,
-           2) output segments points from the old detector and
-           3) their minimal digital straight segments,
-           4) output segments points from the new detector and
-           5) their minimal digital straight segments.}
+           a) one of the test images,
+           b) output segments points from the old detector and
+           c) their minimal digital straight segments,
+           d) output segments points from the new detector and
+           e) their minimal digital straight segments.}
   \label{fig:synth}
 \end{figure}
 \begin{table}
 \centering
 \input{Fig_synth/statsTable}
-\caption{Measured performance of both detectors on a set of synthesized images.}
+\caption{Measured performance of both detectors on a set of synthesized images.
+$S$ is the set of all the input segments pixels,
+$D$ the set of all the detected segments pixels.}
 \label{tab:synth}
 \end{table}