19 sept

[these_gilles.git] / THESE / these.out

diff --git a/THESE/these.out b/THESE/these.out
index 2b18633e7c034a2b2dd657240b34b7c1801e7dc8..666a7ec09e9b00184f10558882e9de60aba13ff3 100644 (file)
--- a/THESE/these.out
+++ b/THESE/these.out
@@ -20,11 +20,15 @@
 \BOOKMARK [2][]{subsection.2.4.4}{2.4.4 Les filtres par patches}{section.2.4}
 \BOOKMARK [1][]{section.2.5}{2.5 Les techniques de segmentation}{chapter.2}
 \BOOKMARK [2][]{subsection.2.5.1}{2.5.1 Analyse d'histogramme}{section.2.5}
-\BOOKMARK [2][]{subsection.2.5.2}{2.5.2 Analyse de graphe}{section.2.5}
-\BOOKMARK [2][]{subsection.2.5.3}{2.5.3 kernel-means, mean-shift et d\351riv\351s}{section.2.5}
+\BOOKMARK [2][]{subsection.2.5.2}{2.5.2 Partitionnement de graphe}{section.2.5}
+\BOOKMARK [2][]{subsection.2.5.3}{2.5.3 kernel-means, mean-shift et apparent\351s}{section.2.5}
 \BOOKMARK [2][]{subsection.2.5.4}{2.5.4 Les contours actifs, ou snakes}{section.2.5}
 \BOOKMARK [2][]{subsection.2.5.5}{2.5.5 M\351thodes hybrides}{section.2.5}
-\BOOKMARK [1][]{section.2.6}{2.6 L'\351tat de l'art des impl\351mentations GPU}{chapter.2}
+\BOOKMARK [1][]{section.2.6}{2.6 Les impl\351mentations GPU des techniques de segmentation}{chapter.2}
+\BOOKMARK [2][]{subsection.2.6.1}{2.6.1 Calcul d'histogramme}{section.2.6}
+\BOOKMARK [2][]{subsection.2.6.2}{2.6.2 Partitionnement de graphe}{section.2.6}
+\BOOKMARK [2][]{subsection.2.6.3}{2.6.3 K-means, mean-shift et apparent\351s}{section.2.6}
+\BOOKMARK [2][]{subsection.2.6.4}{2.6.4 Snakes et Level set}{section.2.6}
 \BOOKMARK [0][]{chapter.3}{3 La segmentation orient\351e r\351gions dans les images bruit\351es}{}
 \BOOKMARK [1][]{section.3.1}{3.1 Pr\351sentation - existant}{chapter.3}
 \BOOKMARK [1][]{section.3.2}{3.2 La parall\350lisation du snake polygonal}{chapter.3}