X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/these_gilles.git/blobdiff_plain/c9d0c3dd6f80e930b253e821696e7cab543423be..0b60f2b9f649af92fb00ae9fb88d77fe1cbb5c85:/THESE/these.out?ds=inline

diff --git a/THESE/these.out b/THESE/these.out
index b425469..9ff4ede 100644
--- a/THESE/these.out
+++ b/THESE/these.out
@@ -56,23 +56,23 @@
 \BOOKMARK [2][]{subsection.6.3.2}{6.3.2 Calcul des contributions des segments}{section.6.3}
 \BOOKMARK [3][]{subsubsection.6.3.2.1}{6.3.2.1 Cas particulier des segments dont la pente k v\351rifie |k|1}{subsection.6.3.2}
 \BOOKMARK [2][]{subsection.6.3.3}{6.3.3 Performances}{section.6.3}
-\BOOKMARK [2][]{subsection.6.3.4}{6.3.4 D\351termination intelligente du contour initial}{section.6.3}
+\BOOKMARK [2][]{subsection.6.3.4}{6.3.4 D\351termination du contour initial au sens du maximum de vraisemblance}{section.6.3}
 \BOOKMARK [2][]{subsection.6.3.5}{6.3.5 Conclusion}{section.6.3}
 \BOOKMARK [0][]{chapter.7}{7 R\351duction de bruit par recherche des lignes de niveaux}{part.3}
 \BOOKMARK [1][]{section.7.1}{7.1 Introduction}{chapter.7}
 \BOOKMARK [1][]{section.7.2}{7.2 Pr\351sentation de l'algorithme}{chapter.7}
 \BOOKMARK [2][]{subsection.7.2.1}{7.2.1 Formulation}{section.7.2}
-\BOOKMARK [3][]{subsubsection.7.2.1.1}{7.2.1.1 Isolines \340 un seul segment}{subsection.7.2.1}
+\BOOKMARK [3][]{subsubsection.7.2.1.1}{7.2.1.1 D\351termination du premier segment}{subsection.7.2.1}
 \BOOKMARK [3][]{subsubsection.7.2.1.2}{7.2.1.2 Isolines compos\351es de plusieurs segments - crit\350re d'allongement}{subsection.7.2.1}
 \BOOKMARK [1][]{section.7.3}{7.3 Mod\351lisation des isolines pour l'impl\351mentation parall\350le sur GPU}{chapter.7}
 \BOOKMARK [2][]{subsection.7.3.1}{7.3.1 Isolines \351valu\351es semi-globalement}{section.7.3}
 \BOOKMARK [2][]{subsection.7.3.2}{7.3.2 Isolines \340 segments pr\351-\351valu\351s - mod\350le PI-PD}{section.7.3}
 \BOOKMARK [2][]{subsection.7.3.3}{7.3.3 Mod\350le PI-PD hybride}{section.7.3}
-\BOOKMARK [3][]{subsubsection.7.3.3.1}{7.3.3.1 Le d\351tecteur de zone \340 faible pente}{subsection.7.3.3}
+\BOOKMARK [3][]{subsubsection.7.3.3.1}{7.3.3.1 Le d\351tecteur de bords}{subsection.7.3.3}
 \BOOKMARK [1][]{section.7.4}{7.4 R\351sultats}{chapter.7}
 \BOOKMARK [1][]{section.7.5}{7.5 Extension aux images couleurs}{chapter.7}
 \BOOKMARK [2][]{subsection.7.5.1}{7.5.1 Expression du crit\350re}{section.7.5}
-\BOOKMARK [2][]{subsection.7.5.2}{7.5.2 R\351sultats}{section.7.5}
+\BOOKMARK [2][]{subsection.7.5.2}{7.5.2 R\351sultats - analyse}{section.7.5}
 \BOOKMARK [1][]{section.7.6}{7.6 Conclusion}{chapter.7}
 \BOOKMARK [0][]{chapter.8}{8 Le filtre m\351dian sur GPU}{part.3}
 \BOOKMARK [1][]{section.8.1}{8.1 Introduction}{chapter.8}
@@ -88,6 +88,4 @@
 \BOOKMARK [1][]{section.9.3}{9.3 Impl\351mentation optimis\351e de la convolution non s\351parable sur GPU}{chapter.9}
 \BOOKMARK [1][]{section.9.4}{9.4 Cas de la convolution s\351parable}{chapter.9}
 \BOOKMARK [1][]{section.9.5}{9.5 Conclusion}{chapter.9}
-\BOOKMARK [-1][]{part.4}{IV Conclusions et perspectives}{}
-\BOOKMARK [0][]{chapter.10}{10 Conclusion g\351n\351rale}{part.4}
-\BOOKMARK [0][]{chapter.11}{11 Remerciements}{part.4}
+\BOOKMARK [0][]{chapter.10}{10 Conclusion g\351n\351rale}{part.3}