07 sep

[these_gilles.git] / THESE / these.toc

diff --git a/THESE/these.toc b/THESE/these.toc
index 4753c3610d6b5db4844b53e845043265f4c2cd3e..df5542d7631ddc6a98f93685b4ce6c750c082a7c 100644 (file)
--- a/THESE/these.toc
+++ b/THESE/these.toc
@@ -1,7 +1,7 @@
 \select@language {french}
 \contentsline {chapter}{\numberline {1}Introduction}{7}{chapter.1}
 \contentsline {chapter}{\numberline {2}Le traitement des images bruit\IeC {\'e}es}{11}{chapter.2}
 \select@language {french}
 \contentsline {chapter}{\numberline {1}Introduction}{7}{chapter.1}
 \contentsline {chapter}{\numberline {2}Le traitement des images bruit\IeC {\'e}es}{11}{chapter.2}

-\contentsline {section}{\numberline {2.1}Mod\IeC {\`e}le d'image bruit\IeC {\'e}e}{12}{section.2.1}
+\contentsline {section}{\numberline {2.1}Mod\IeC {\`e}le d'image bruit\IeC {\'e}e}{11}{section.2.1}

 \contentsline {section}{\numberline {2.2}Mod\IeC {\`e}les de bruit}{12}{section.2.2}
 \contentsline {subsection}{\numberline {2.2.1}Le bruit gaussien}{12}{subsection.2.2.1}
 \contentsline {subsection}{\numberline {2.2.2}Le speckle}{12}{subsection.2.2.2}
 \contentsline {section}{\numberline {2.2}Mod\IeC {\`e}les de bruit}{12}{section.2.2}
 \contentsline {subsection}{\numberline {2.2.1}Le bruit gaussien}{12}{subsection.2.2.1}
 \contentsline {subsection}{\numberline {2.2.2}Le speckle}{12}{subsection.2.2.2}


@@ -11,20 +11,20 @@
 \contentsline {subsection}{\numberline {2.3.1}Les op\IeC {\'e}rateurs de base}{14}{subsection.2.3.1}
 \contentsline {subsubsection}{\numberline {2.3.1.1}Les algorithmes de voisinage}{14}{subsubsection.2.3.1.1}
 \contentsline {subsubsection}{\numberline {2.3.1.2}Les algorithmes par dictionnaire}{16}{subsubsection.2.3.1.2}
 \contentsline {subsection}{\numberline {2.3.1}Les op\IeC {\'e}rateurs de base}{14}{subsection.2.3.1}
 \contentsline {subsubsection}{\numberline {2.3.1.1}Les algorithmes de voisinage}{14}{subsubsection.2.3.1.1}
 \contentsline {subsubsection}{\numberline {2.3.1.2}Les algorithmes par dictionnaire}{16}{subsubsection.2.3.1.2}

-\contentsline {subsection}{\numberline {2.3.2}Les techniques avanc\IeC {\'e}es}{16}{subsection.2.3.2}
-\contentsline {section}{\numberline {2.4}Les impl\IeC {\'e}mentations GPU des algorithmes de filtrage}{18}{section.2.4}
-\contentsline {section}{\numberline {2.5}Les techniques de segmentation}{19}{section.2.5}
-\contentsline {subsection}{\numberline {2.5.1}Analyse d'histogramme}{20}{subsection.2.5.1}
-\contentsline {subsection}{\numberline {2.5.2}Analyse de graphe}{20}{subsection.2.5.2}
-\contentsline {subsection}{\numberline {2.5.3}kernel-means, mean-shift et d\IeC {\'e}riv\IeC {\'e}s}{22}{subsection.2.5.3}
-\contentsline {subsection}{\numberline {2.5.4}Les contours actifs, ou \textit {snakes}}{25}{subsection.2.5.4}
-\contentsline {subsection}{\numberline {2.5.5}M\IeC {\'e}thodes hybrides}{27}{subsection.2.5.5}
-\contentsline {section}{\numberline {2.6}L'\IeC {\'e}tat de l'art des impl\IeC {\'e}mentations GPU}{27}{section.2.6}
-\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{29}{chapter.3}
-\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{29}{section.3.1}
-\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{29}{section.3.2}
-\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{31}{chapter.4}
-\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{31}{section.4.1}
-\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{31}{section.4.2}
-\contentsline {section}{\numberline {4.3}Filtres de convolution}{31}{section.4.3}
-\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{33}{chapter.5}
+\contentsline {subsection}{\numberline {2.3.2}Les techniques avanc\IeC {\'e}es}{18}{subsection.2.3.2}
+\contentsline {section}{\numberline {2.4}Les impl\IeC {\'e}mentations GPU des algorithmes de filtrage}{19}{section.2.4}
+\contentsline {section}{\numberline {2.5}Les techniques de segmentation}{21}{section.2.5}
+\contentsline {subsection}{\numberline {2.5.1}Analyse d'histogramme}{22}{subsection.2.5.1}
+\contentsline {subsection}{\numberline {2.5.2}Analyse de graphe}{23}{subsection.2.5.2}
+\contentsline {subsection}{\numberline {2.5.3}kernel-means, mean-shift et d\IeC {\'e}riv\IeC {\'e}s}{25}{subsection.2.5.3}
+\contentsline {subsection}{\numberline {2.5.4}Les contours actifs, ou \textit {snakes}}{27}{subsection.2.5.4}
+\contentsline {subsection}{\numberline {2.5.5}M\IeC {\'e}thodes hybrides}{29}{subsection.2.5.5}
+\contentsline {section}{\numberline {2.6}L'\IeC {\'e}tat de l'art des impl\IeC {\'e}mentations GPU}{29}{section.2.6}
+\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{31}{chapter.3}
+\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{31}{section.3.1}
+\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{31}{section.3.2}
+\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{33}{chapter.4}
+\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{33}{section.4.1}
+\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{33}{section.4.2}
+\contentsline {section}{\numberline {4.3}Filtres de convolution}{33}{section.4.3}
+\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{35}{chapter.5}