X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/canny.git/blobdiff_plain/af81455342fce2b4d7f96ecb4f1194635a5a13a4..7aeb1ab6cc41dd51a6dbe4c844c8983809205186:/experiments.tex?ds=inline

diff --git a/experiments.tex b/experiments.tex
index 5ba43df..eff125e 100644
--- a/experiments.tex
+++ b/experiments.tex
@@ -1,5 +1,5 @@
 First of all, the whole code of STABYLO can be downloaded
-\footnote{\url{http://members.femto-st.fr/raphael-couturier/stabylo/}}.
+\footnote{\url{http://http://members.femto-st.fr/jf-couchot/en/stabylo}}.
 For all the experiments, the whole set of 10,000 images 
 of the BOSS contest~\cite{Boss10} database is taken. 
 In this set, each cover is a $512\times 512$
@@ -205,10 +205,10 @@ as far as we know.
 However by combining Adaptive and STC strategies
 our approach obtains similar results than the ones of these schemes.
 
-Compared to EAILSBMR, we obtain better results when the strategy is 
+Compared to EAILSBMR, we obtain similar
+results when the strategy is 
 Adaptive. 
-However due to its 
-huge number of integration features, it is not lightweight.
+However due to its huge number of integration features, it is not lightweight.
 
 All these numerical experiments confirm 
 the objective presented in the motivations:
