diff --git a/Article/abstract.tex b/Article/abstract.tex
index db50a660092b02a8f7d6375db4f5ce06d3e58ebe..9fcf548c67f658d856c1333428578aa092c69545 100755
--- a/Article/abstract.tex
+++ b/Article/abstract.tex
@@ -1,7 +1,8 @@
-  This paper introduces a new straight thick edge detector in gray-level images
-based on blurred segments, digital objects able to embed quality measurements
-on the extracted features. This study enhances previous works on interactive
-line detection with a better estimation of the blurred segment width and
+  This paper introduces a new straight line 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
+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 detection of all the segments in a single image
diff --git a/Article/biblio.bib b/Article/biblio.bib
index 90f6b92d3573c31b50d6c9f490b6549cf24c658d..d753adc0a21bf9695f7abdc58fe2d156532b5c12 100755
--- a/Article/biblio.bib
+++ b/Article/biblio.bib
@@ -151,6 +151,18 @@
 }
 
 
+@inproceedings{DenisAl08,
+  title = {Efficient edge-based methods for estimating {M}anhattan frames
+in urban imagery},
+  author = {Denis, Patrick and Elder, James H. and Estrada, Francisco J.},
+  booktitle = {European Conference on Computer Vision},
+  publisher = {LNCS 5303},
+  year = {2008},
+  pages = {197--210},
+  optdoi = {10.1007/978-3-540-88688-4_15}
+}
+
+
 @article{AkinlarTopal12,
   title = {{EDPF}: a real-time parameter-free edge segment detector
            with a false detection control},
diff --git a/Article/intro.tex b/Article/intro.tex
index 66002d8add4e49cc5770dda894c3319271336e7d..4499fd50d086c666b2990870c9f717f835f689b1 100755
--- a/Article/intro.tex
+++ b/Article/intro.tex
@@ -4,12 +4,12 @@
 
 \subsection{Motivations}
 
-Straight edge detection is a preliminary step of many image analysis
+Straight line detection is a preliminary step of many image analysis
 processes.
 Therefore, it is always an active research topic centered on
 the quest of still faster, more accurate or more robust-to-noise methods
 \cite{AkinlarTopal12,GioiAl10,LuAl15,MatasAl00}.
-However, they seldom provide an exploitable measure of the output edge
+However, they seldom provide an exploitable measure of the output line
 quality, based on intrinsic properties such as sharpness, connectivity
 or scattering.
 %Some information may sometimes be drawn from their specific context,
diff --git a/Article/main.tex b/Article/main.tex
index 74fbea304f9aeaa64c8f22d2d6924eaa7251a1ab..38dedd3ec1d86557f62db510898d3e9d4d9f6896 100755
--- a/Article/main.tex
+++ b/Article/main.tex
@@ -26,7 +26,7 @@
   \begin{frontmatter}
 %    \title{Straight edge detection
 %           based on adaptive directional tracking of blurred segments}
-    \title{Adaptive Directional Tracking of Blurred Segments}
+    \title{Fast Directional Tracking of Thick Line Segments}
 
     \author{Philippe Even\inst{1} \and
             Phuc Ngo\inst{1} \and
@@ -46,7 +46,7 @@
         \input{abstract}  
         \keywords{Line/segment detection
                   \and discrete objects
-                  \and image analysis}
+                  \and digital geometry}
     \end{abstract}
 
   \end{frontmatter}
diff --git a/Article/method.tex b/Article/method.tex
index a69567419afd624b2dc8640d5e95956aafe92d9c..efa15402d4950edff6eb57ddc675f669ca940d0b 100755
--- a/Article/method.tex
+++ b/Article/method.tex
@@ -114,7 +114,7 @@ i > \lambda
 where $C_{i}$, $\vec{D}_{i}$ and $w_{i}$ are respectively a position,
 a director vector and a width observed at iteration $i$.
 In the scope of the present detector, $C_{i-1}$ is the intersection of
-the input selection and the medial axis of $\mathcal{B}_{i-1}$,
+the input selection and the central line of $\mathcal{B}_{i-1}$,
 $\vec{D}_{i-1}$ the support vector of the enclosing digital segment 
 $E(\mathcal{B}_{i-1})$, and $w_{i-1}$ a value slightly greater than the
 minimal width of $\mathcal{B}_{i-1}$.