From 699f4e8c3d7451b22a4dcf03bec84e659443e7b6 Mon Sep 17 00:00:00 2001
From: Kerautret <bertrand.kerautret@univ-lyon2.fr>
Date: Sun, 23 Dec 2018 10:00:27 +0100
Subject: [PATCH] modif section 1.1
---
Article/biblio.bib | 8 ++++++++
Article/intro.tex | 2 +-
2 files changed, 9 insertions(+), 1 deletion(-)
diff --git a/Article/biblio.bib b/Article/biblio.bib
index 8af3773..5ca83cd 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 53d2923..e57d1ba 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
--
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