X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/these_gilles.git/blobdiff_plain/337bc2017ae0e8ef623077988ea7998f48b3c442..2145c00e2163c4976cfc5dd2937ac2b5e7515892:/THESE/these.toc

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--- a/THESE/these.toc
+++ b/THESE/these.toc
@@ -1,25 +1,36 @@
 \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 {subsection}{\numberline {2.2.3}Le bruit ``sel et poivre''}{13}{subsection.2.2.3}
 \contentsline {subsection}{\numberline {2.2.4}Le bruit de Poisson}{13}{subsection.2.2.4}
 \contentsline {section}{\numberline {2.3}Les techniques de r\IeC {\'e}duction de bruit}{13}{section.2.3}
-\contentsline {section}{\numberline {2.4}Les techniques de segmentation}{14}{section.2.4}
-\contentsline {subsection}{\numberline {2.4.1}Analyse d'histogramme}{14}{subsection.2.4.1}
-\contentsline {subsection}{\numberline {2.4.2}Analyse de graphe}{15}{subsection.2.4.2}
-\contentsline {subsection}{\numberline {2.4.3}kernel-means, mean-shift et d\IeC {\'e}riv\IeC {\'e}s}{17}{subsection.2.4.3}
-\contentsline {subsection}{\numberline {2.4.4}Les contours actifs, ou \textit {snakes}}{18}{subsection.2.4.4}
-\contentsline {subsection}{\numberline {2.4.5}M\IeC {\'e}thodes hybrides}{19}{subsection.2.4.5}
-\contentsline {section}{\numberline {2.5}L'\IeC {\'e}tat de l'art des impl\IeC {\'e}mentations GPU}{20}{section.2.5}
-\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{21}{chapter.3}
-\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{21}{section.3.1}
-\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{21}{section.3.2}
-\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{23}{chapter.4}
-\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{23}{section.4.1}
-\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{23}{section.4.2}
-\contentsline {section}{\numberline {4.3}Filtres de convolution}{23}{section.4.3}
-\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{25}{chapter.5}
+\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}Le filtre de convolution}{14}{subsubsection.2.3.1.1}
+\contentsline {subsubsection}{\numberline {2.3.1.2}Le filtre m\IeC {\'e}dian}{15}{subsubsection.2.3.1.2}
+\contentsline {subsubsection}{\numberline {2.3.1.3}Le filtre bilat\IeC {\'e}ral}{16}{subsubsection.2.3.1.3}
+\contentsline {subsubsection}{\numberline {2.3.1.4}Les algorithmes de filtrage par dictionnaire}{18}{subsubsection.2.3.1.4}
+\contentsline {subsection}{\numberline {2.3.2}Les algorithmes de filtrage par patches}{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 {subsection}{\numberline {2.4.1}Le filtrage par convolution}{20}{subsection.2.4.1}
+\contentsline {subsection}{\numberline {2.4.2}Le filtre m\IeC {\'e}dian}{20}{subsection.2.4.2}
+\contentsline {subsection}{\numberline {2.4.3}Le filtre bilat\IeC {\'e}ral}{21}{subsection.2.4.3}
+\contentsline {subsection}{\numberline {2.4.4}Les filtres par patches}{22}{subsection.2.4.4}
+\contentsline {section}{\numberline {2.5}Les techniques de segmentation}{23}{section.2.5}
+\contentsline {subsection}{\numberline {2.5.1}Analyse d'histogramme}{23}{subsection.2.5.1}
+\contentsline {subsection}{\numberline {2.5.2}Analyse de graphe}{24}{subsection.2.5.2}
+\contentsline {subsection}{\numberline {2.5.3}kernel-means, mean-shift et d\IeC {\'e}riv\IeC {\'e}s}{26}{subsection.2.5.3}
+\contentsline {subsection}{\numberline {2.5.4}Les contours actifs, ou \textit {snakes}}{28}{subsection.2.5.4}
+\contentsline {subsection}{\numberline {2.5.5}M\IeC {\'e}thodes hybrides}{30}{subsection.2.5.5}
+\contentsline {section}{\numberline {2.6}L'\IeC {\'e}tat de l'art des impl\IeC {\'e}mentations GPU}{31}{section.2.6}
+\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{33}{chapter.3}
+\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{33}{section.3.1}
+\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{33}{section.3.2}
+\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{35}{chapter.4}
+\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{35}{section.4.1}
+\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{35}{section.4.2}
+\contentsline {section}{\numberline {4.3}Filtres de convolution}{35}{section.4.3}
+\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{37}{chapter.5}