diff --git a/Article/abstract.tex b/Article/abstract.tex
index c1742d750250d6579abec0085dc3920a93bcf5c8..63b48cfe0b18c354304c7aee5d175121c2fc64a4 100755
--- a/Article/abstract.tex
+++ b/Article/abstract.tex
@@ -2,9 +2,9 @@
 detector in gray-level images,
 where line segments are enriched with a thickness parameter
 intended to provide a quality criterion on the extracted feature.
-This study enhances previous works on interactive
+This study firstly enhances previous works on interactive
 line detection with a better estimation of the segment width and
 orientation through two main improvements: adaptive directional scans and
 the control of the assigned width to the detection algorithm.
-A new contribution to the automatic detection of all the segments in a single
+Then, a new contribution to the automatic detection of all the segments in a single
 image is also proposed and left available in an online demonstration.
diff --git a/Article/main.tex b/Article/main.tex
index 2e223fe720f9c22a2ca80a0c18c655238f60c6cd..b95e82bc8149929bef6d2a78b620990d7992b194 100755
--- a/Article/main.tex
+++ b/Article/main.tex
@@ -26,8 +26,9 @@
   \begin{frontmatter}
 %    \title{Straight edge detection
 %           based on adaptive directional tracking of blurred segments}
-    \title{Fast Directional Tracking of Thick Line Segments}
-
+%%    \title{Fast Directional Tracking of Thick Line Segments}
+    %% Proposition BK:
+        \title{Thick Line Segments Detection with Fast Directional Tracking}
     \author{Philippe Even\inst{1} \and
             Phuc Ngo\inst{1} \and
             Bertrand Kerautret\inst{2}}