7 dec

[these_gilles.git] / THESE / these.out

diff --git a/THESE/these.out b/THESE/these.out
index cfd819e9b3e274a0353abfec65b520834e957b40..23289839bf8c0254d2a803786ce1b4b428159e36 100644 (file)
--- a/THESE/these.out
+++ b/THESE/these.out
@@ -38,33 +38,35 @@
 \BOOKMARK [2][]{subsection.3.6.5}{3.6.5 Algorithmes hybrides}{section.3.6}
 \BOOKMARK [1][]{section.3.7}{3.7 Conclusion}{chapter.3}
 \BOOKMARK [0][]{chapter.4}{4 La segmentation par snake polygonal orient\351 r\351gions}{}
 \BOOKMARK [2][]{subsection.3.6.5}{3.6.5 Algorithmes hybrides}{section.3.6}
 \BOOKMARK [1][]{section.3.7}{3.7 Conclusion}{chapter.3}
 \BOOKMARK [0][]{chapter.4}{4 La segmentation par snake polygonal orient\351 r\351gions}{}

-\BOOKMARK [1][]{section.4.1}{4.1 Pr\351sentation de l'algorithme}{chapter.4}
-\BOOKMARK [2][]{subsection.4.1.1}{4.1.1 Formulation}{section.4.1}
-\BOOKMARK [2][]{subsection.4.1.2}{4.1.2 Optimisation des calculs}{section.4.1}
-\BOOKMARK [2][]{subsection.4.1.3}{4.1.3 Impl\351mentation s\351quentielle}{section.4.1}
-\BOOKMARK [2][]{subsection.4.1.4}{4.1.4 Performances}{section.4.1}
-\BOOKMARK [1][]{section.4.2}{4.2 Impl\351mentation parall\350le GPU du snake polygonal}{chapter.4}
-\BOOKMARK [2][]{subsection.4.2.1}{4.2.1 pr\351-calculs des images cumul\351es}{section.4.2}
-\BOOKMARK [2][]{subsection.4.2.2}{4.2.2 Calcul des contribution des segments}{section.4.2}
-\BOOKMARK [3][]{subsubsection.4.2.2.1}{4.2.2.1 Cas particulier des segments dont la pente k v\351rifie |k|1}{subsection.4.2.2}
-\BOOKMARK [2][]{subsection.4.2.3}{4.2.3 Performances}{section.4.2}
-\BOOKMARK [2][]{subsection.4.2.4}{4.2.4 Discussion sur l'initialisation}{section.4.2}
-\BOOKMARK [2][]{subsection.4.2.5}{4.2.5 Conclusion}{section.4.2}
+\BOOKMARK [1][]{section.4.1}{4.1 Introduction}{chapter.4}
+\BOOKMARK [1][]{section.4.2}{4.2 Pr\351sentation de l'algorithme}{chapter.4}
+\BOOKMARK [2][]{subsection.4.2.1}{4.2.1 Formulation}{section.4.2}
+\BOOKMARK [2][]{subsection.4.2.2}{4.2.2 Optimisation des calculs}{section.4.2}
+\BOOKMARK [2][]{subsection.4.2.3}{4.2.3 Impl\351mentation s\351quentielle}{section.4.2}
+\BOOKMARK [2][]{subsection.4.2.4}{4.2.4 Performances}{section.4.2}
+\BOOKMARK [1][]{section.4.3}{4.3 Impl\351mentation parall\350le GPU du snake polygonal}{chapter.4}
+\BOOKMARK [2][]{subsection.4.3.1}{4.3.1 Pr\351-calculs des images cumul\351es}{section.4.3}
+\BOOKMARK [2][]{subsection.4.3.2}{4.3.2 Calcul des contributions des segments}{section.4.3}
+\BOOKMARK [3][]{subsubsection.4.3.2.1}{4.3.2.1 Cas particulier des segments dont la pente k v\351rifie |k|1}{subsection.4.3.2}
+\BOOKMARK [2][]{subsection.4.3.3}{4.3.3 Performances}{section.4.3}
+\BOOKMARK [2][]{subsection.4.3.4}{4.3.4 D\351termination intelligente du contour initial}{section.4.3}
+\BOOKMARK [2][]{subsection.4.3.5}{4.3.5 Conclusion}{section.4.3}

 \BOOKMARK [0][]{chapter.5}{5 R\351duction de bruit par recherche des lignes de niveaux}{}
 \BOOKMARK [0][]{chapter.5}{5 R\351duction de bruit par recherche des lignes de niveaux}{}

-\BOOKMARK [1][]{section.5.1}{5.1 Pr\351sentation de l'algorithme}{chapter.5}
-\BOOKMARK [2][]{subsection.5.1.1}{5.1.1 Formulation}{section.5.1}
-\BOOKMARK [3][]{subsubsection.5.1.1.1}{5.1.1.1 Isolines \340 un seul segment}{subsection.5.1.1}
-\BOOKMARK [3][]{subsubsection.5.1.1.2}{5.1.1.2 Isolines compos\351es de plusieurs segments - crit\350re d'allongement}{subsection.5.1.1}
-\BOOKMARK [1][]{section.5.2}{5.2 Impl\351mentation parall\350le}{chapter.5}
-\BOOKMARK [2][]{subsection.5.2.1}{5.2.1 Isolines \351valu\351es semi-globalement}{section.5.2}
-\BOOKMARK [2][]{subsection.5.2.2}{5.2.2 Isolines \340 segments pre-\351valu\351s - mod\350le PI-PD}{section.5.2}
-\BOOKMARK [2][]{subsection.5.2.3}{5.2.3 Mod\350le PI-PD hybride}{section.5.2}
-\BOOKMARK [3][]{subsubsection.5.2.3.1}{5.2.3.1 Le d\351tecteur de zone \340 faible pente}{subsection.5.2.3}
-\BOOKMARK [1][]{section.5.3}{5.3 R\351sultats}{chapter.5}
-\BOOKMARK [1][]{section.5.4}{5.4 Extension aux images couleurs}{chapter.5}
-\BOOKMARK [2][]{subsection.5.4.1}{5.4.1 Expression du crit\350re}{section.5.4}
-\BOOKMARK [2][]{subsection.5.4.2}{5.4.2 R\351sultats}{section.5.4}
-\BOOKMARK [1][]{section.5.5}{5.5 Conclusion}{chapter.5}
+\BOOKMARK [1][]{section.5.1}{5.1 Introduction}{chapter.5}
+\BOOKMARK [1][]{section.5.2}{5.2 Pr\351sentation de l'algorithme}{chapter.5}
+\BOOKMARK [2][]{subsection.5.2.1}{5.2.1 Formulation}{section.5.2}
+\BOOKMARK [3][]{subsubsection.5.2.1.1}{5.2.1.1 Isolines \340 un seul segment}{subsection.5.2.1}
+\BOOKMARK [3][]{subsubsection.5.2.1.2}{5.2.1.2 Isolines compos\351es de plusieurs segments - crit\350re d'allongement}{subsection.5.2.1}
+\BOOKMARK [1][]{section.5.3}{5.3 Mod\351lisation des isolines pour l'impl\351mentation parall\350le sur GPU}{chapter.5}
+\BOOKMARK [2][]{subsection.5.3.1}{5.3.1 Isolines \351valu\351es semi-globalement}{section.5.3}
+\BOOKMARK [2][]{subsection.5.3.2}{5.3.2 Isolines \340 segments pr\351-\351valu\351s - mod\350le PI-PD}{section.5.3}
+\BOOKMARK [2][]{subsection.5.3.3}{5.3.3 Mod\350le PI-PD hybride}{section.5.3}
+\BOOKMARK [3][]{subsubsection.5.3.3.1}{5.3.3.1 Le d\351tecteur de zone \340 faible pente}{subsection.5.3.3}
+\BOOKMARK [1][]{section.5.4}{5.4 R\351sultats}{chapter.5}
+\BOOKMARK [1][]{section.5.5}{5.5 Extension aux images couleurs}{chapter.5}
+\BOOKMARK [2][]{subsection.5.5.1}{5.5.1 Expression du crit\350re}{section.5.5}
+\BOOKMARK [2][]{subsection.5.5.2}{5.5.2 R\351sultats}{section.5.5}
+\BOOKMARK [1][]{section.5.6}{5.6 Conclusion}{chapter.5}

 \BOOKMARK [0][]{chapter.6}{6 Le filtre m\351dian sur GPU}{}
 \BOOKMARK [1][]{section.6.1}{6.1 Introduction}{chapter.6}
 \BOOKMARK [1][]{section.6.2}{6.2 Les transferts de donn\351es}{chapter.6}
 \BOOKMARK [0][]{chapter.6}{6 Le filtre m\351dian sur GPU}{}
 \BOOKMARK [1][]{section.6.1}{6.1 Introduction}{chapter.6}
 \BOOKMARK [1][]{section.6.2}{6.2 Les transferts de donn\351es}{chapter.6}


@@ -75,8 +77,8 @@
 \BOOKMARK [1][]{section.6.5}{6.5 Conclusion}{chapter.6}
 \BOOKMARK [0][]{chapter.7}{7 Les filtres de convolution sur GPU}{}
 \BOOKMARK [1][]{section.7.1}{7.1 Introduction}{chapter.7}
 \BOOKMARK [1][]{section.6.5}{6.5 Conclusion}{chapter.6}
 \BOOKMARK [0][]{chapter.7}{7 Les filtres de convolution sur GPU}{}
 \BOOKMARK [1][]{section.7.1}{7.1 Introduction}{chapter.7}

-\BOOKMARK [1][]{section.7.2}{7.2 Impl\351mentation g\351n\351rique de la convolution non s\351parable}{chapter.7}
-\BOOKMARK [1][]{section.7.3}{7.3 Impl\351mentation optimis\351e de la convolution non s\351parable}{chapter.7}
+\BOOKMARK [1][]{section.7.2}{7.2 Impl\351mentation g\351n\351rique de la convolution non s\351parable sur GPU}{chapter.7}
+\BOOKMARK [1][]{section.7.3}{7.3 Impl\351mentation optimis\351e de la convolution non s\351parable sur GPU}{chapter.7}

 \BOOKMARK [1][]{section.7.4}{7.4 Cas de la convolution s\351parable}{chapter.7}
 \BOOKMARK [1][]{section.7.5}{7.5 Conclusion}{chapter.7}
 \BOOKMARK [0][]{chapter.8}{8 Conclusion g\351n\351rale}{}
 \BOOKMARK [1][]{section.7.4}{7.4 Cas de la convolution s\351parable}{chapter.7}
 \BOOKMARK [1][]{section.7.5}{7.5 Conclusion}{chapter.7}
 \BOOKMARK [0][]{chapter.8}{8 Conclusion g\351n\351rale}{}