ajout dans section 1.3

Article/intro.tex

@@ -58,7 +58,7 @@ on the edge quality is rather poor, and especially when the edge is thin,
 the risk to incorporate outlier points is quite high, thus producing a
 biased estimation of the edge orientation.
 
-Then, two refinement steps are systematically run.
+Then, two refinement steps on  are systematically run.
 On one hand, this is useless when the first detection is successfull.
 On the other hand, there is no guarantee that this approach is able to
 process larger images.
@@ -71,18 +71,19 @@ resolution images.
 \subsection{Main contributions}
 
 The work presented in this paper aims at solving both former mentioned
-drawbacks through two main contributions:
-the concept of adaptive directional scanner designed to get some compliance
-to the unpredictable orientation problem;
-the control of the assigned width to the blurred segment recognition algorithm,
-intended to derive more reliable information on the edge orientation and
-quality.
-As a side effect, these two major evolutions also led to a noticeable
-improvement of the time performance of the detector.
+drawbacks through two main contributions: (i) the concept of adaptive
+directional scanner designed to get some compliance to the
+unpredictable orientation problem; (ii) the control of the assigned
+width to the blurred segment recognition algorithm, intended to derive
+more reliable information on the edge orientation and quality; (iii) a
+global line extraction algorithm which can be reproduced through an
+online demonstration.  As a side effect, these two major evolutions
+also led to a noticeable improvement of the time performance of the
+detector.
 
 In the next section, the main theoretical notions this work relies on are
 introduced.
-Then the new detector workflow, the adaptive directional scanner, the control
+Then, the new detector workflow, the adaptive directional scanner, the control
 of the assigned with and their integration into both supervised
 and unsupervised contexts are presented and discussed in \RefSec{sec:method}.
 Experiments led to assess the expected increase of performance are decribed