diff --git a/Article/biblio.bib b/Article/biblio.bib
index 8af3773c3c3f0050a5d721cbc1f1d0e097231c3c..5ca83cd7e84d4e618c73e3fff5d37e4c3bfc3f94 100755
--- a/Article/biblio.bib
+++ b/Article/biblio.bib
@@ -1,3 +1,11 @@
+
+@article{Debled06,
+	title = {Optimal {Blurred} {Segments} {Decomposition} of {Noisy} {Shapes} in {Linear} {Times}},
+	journal = {Computers and Graphics},
+	author = {Debled-Rennesson, I. and Feschet, F. and Rouyer-Degli, J.},
+	year = {2006}
+}
+
 @book{KletteRosenfeld04,
   title = {Digital geometry -- Geometric methods for digital picture analysis},
   author = {Klette, Reinhard and Rosenfeld, Azriel},
diff --git a/Article/intro.tex b/Article/intro.tex
index 53d2923913a9d6f04f37c173f74fe3ff6e878ef5..e57d1ba8d18862f59011d1aa9c77ed8cef5a7ba1 100755
--- a/Article/intro.tex
+++ b/Article/intro.tex
@@ -22,7 +22,7 @@ introduced to cope with the image noise or other sources of imperfections
 from the real world by the mean of a width parameter.
 It is well suited to reflect the required edge quality information.
 Moreover efficient algorithms have already been designed to recognize
-these digital objects in binary images.
+these digital objects in binary images \cite{Debled06}.
 
 The present work aims at designing a flexible tool to detect blurred segments
 with optimal width and orientation in gray-level images for as well