\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}{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 {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}Partitionnement de graphe}{25}{subsection.2.5.2}
\contentsline {subsection}{\numberline {2.5.3}kernel-means, mean-shift et apparent\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}Les impl\IeC {\'e}mentations GPU des techniques de segmentation}{31}{section.2.6}
\contentsline {subsection}{\numberline {2.6.1}Calcul d'histogramme}{31}{subsection.2.6.1}
\contentsline {subsection}{\numberline {2.6.2}Partitionnement de graphe}{32}{subsection.2.6.2}
\contentsline {subsection}{\numberline {2.6.3}K-means, mean-shift et apparent\IeC {\'e}s}{32}{subsection.2.6.3}
\contentsline {subsection}{\numberline {2.6.4}Snakes et Level set}{34}{subsection.2.6.4}
\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{37}{chapter.3}
\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{37}{section.3.1}
\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{37}{section.3.2}
\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{39}{chapter.4}
\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{39}{section.4.1}
\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{39}{section.4.2}
\contentsline {section}{\numberline {4.3}Filtres de convolution}{39}{section.4.3}
\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{41}{chapter.5}