Article : bugounets

Article/biblio.bib

@@ -217,10 +217,10 @@ in urban imagery},
 @book{DesolneuxAl08,
   author = {Desolneux, Agn\`es and Moisan, Lionel and Morel, Jean-Michel},
   year = {2008},
-  month = {January},
+  optmonth = {January},
   pages = {273},
   title = {From {G}estalt Theory to Image Analysis: A Probabilistic Approach},
   series= {Interdisciplinary Applied Mathematics},
   volume = {34},
-  doi = {10.1007/978-0-387-74378-3}
+  optdoi = {10.1007/978-0-387-74378-3}
 }

Article/expeV2.tex

@@ -171,7 +171,7 @@ visually non-meaningful. The other detectors eliminates them by a
 validation test based on Helmholtz principle \cite{DesolneuxAl08}.
 Such test is not yet integrated into the new detector.
 But even so, the mean length of output lines is greater.
-Except for execution time for ED-Lines performs best,
+Except for execution time where ED-Lines performs best,
 global performance of the new detector is pretty similar and
 competitive to the other ones.
 Furthermore, it provides additional information

Article/introV2.tex

@@ -55,9 +55,11 @@ But the segment thickness was initially fixed by the user and not estimated,
 leading to erroneous orientations of the detected lines.
 Here, the limitations of this first detector are solved
 by the introduction of two new concepts:
-(i) adaptive directional scans (ADS) designed to better track the detected line;
+(i) adaptive directional scans %(ADS)
+designed to better track the detected line;
 %get some compliance to the unpredictable orientation problem;
-(ii) control of assigned thickness (CAT) to bound its scattering.
+(ii) control of assigned thickness %(CAT)
+to bound its scattering.
 % intended to derive more reliable information on the
 %line orientation and quality.
 As a side effect, these two major evolutions also led to a noticeable

Article/methodV2.tex

@@ -95,7 +95,7 @@ assigned thickness $\varepsilon_0$.
 The blurred segment is searched within a directional scan with position
 and orientation approximately drawn by the user, or blindly defined
 in unsupervised mode.
-Most of the time, the detection stops where the segment escapes sideways
+In most cases, the detection stops where the segment escapes sideways
 from the scan strip (\RefFig{fig:escape} a).
 A second search is then run using another directional scan aligned
 on the detected segment (\RefFig{fig:escape} b).