X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/these_gilles.git/blobdiff_plain/1bdc5bd76352d829a51e2d6407ad331af7164113..5d5e214d54eab1411ef86a32e11fccfaa53dbc45:/THESE/these.toc?ds=inline

diff --git a/THESE/these.toc b/THESE/these.toc
index 8fa28b2..c95343c 100644
--- a/THESE/these.toc
+++ b/THESE/these.toc
@@ -4,37 +4,37 @@
 \contentsline {section}{\numberline {2.1}Pourquoi ?}{13}{section.2.1}
 \contentsline {section}{\numberline {2.2}Comment ?}{14}{section.2.2}
 \contentsline {subsection}{\numberline {2.2.1}Le mat\IeC {\'e}riel}{14}{subsection.2.2.1}
-\contentsline {subsection}{\numberline {2.2.2}Le logiciel}{15}{subsection.2.2.2}
-\contentsline {subsection}{\numberline {2.2.3}l'Occupancy}{16}{subsection.2.2.3}
+\contentsline {subsection}{\numberline {2.2.2}Le logiciel}{16}{subsection.2.2.2}
+\contentsline {subsection}{\numberline {2.2.3}l'Occupancy}{17}{subsection.2.2.3}
 \contentsline {chapter}{\numberline {3}Le traitement des images bruit\IeC {\'e}es}{19}{chapter.3}
 \contentsline {section}{\numberline {3.1}Mod\IeC {\`e}le d'image bruit\IeC {\'e}e}{20}{section.3.1}
 \contentsline {section}{\numberline {3.2}Mod\IeC {\`e}les de bruit}{20}{section.3.2}
 \contentsline {subsection}{\numberline {3.2.1}Le bruit gaussien}{20}{subsection.3.2.1}
-\contentsline {subsection}{\numberline {3.2.2}Le speckle}{20}{subsection.3.2.2}
+\contentsline {subsection}{\numberline {3.2.2}Le speckle}{21}{subsection.3.2.2}
 \contentsline {subsection}{\numberline {3.2.3}Le bruit ``sel et poivre''}{21}{subsection.3.2.3}
 \contentsline {subsection}{\numberline {3.2.4}Le bruit de Poisson}{21}{subsection.3.2.4}
-\contentsline {section}{\numberline {3.3}Les techniques de r\IeC {\'e}duction de bruit}{21}{section.3.3}
+\contentsline {section}{\numberline {3.3}Les techniques de r\IeC {\'e}duction de bruit}{22}{section.3.3}
 \contentsline {subsection}{\numberline {3.3.1}Les op\IeC {\'e}rateurs de base}{23}{subsection.3.3.1}
 \contentsline {subsubsection}{\numberline {3.3.1.1}Le filtre de convolution}{23}{subsubsection.3.3.1.1}
-\contentsline {subsubsection}{\numberline {3.3.1.2}Le filtre m\IeC {\'e}dian}{23}{subsubsection.3.3.1.2}
+\contentsline {subsubsection}{\numberline {3.3.1.2}Le filtre m\IeC {\'e}dian}{24}{subsubsection.3.3.1.2}
 \contentsline {subsubsection}{\numberline {3.3.1.3}Le filtre bilat\IeC {\'e}ral}{24}{subsubsection.3.3.1.3}
-\contentsline {subsubsection}{\numberline {3.3.1.4}Les algorithmes de filtrage par dictionnaire}{26}{subsubsection.3.3.1.4}
-\contentsline {subsection}{\numberline {3.3.2}Les algorithmes de filtrage par patches}{26}{subsection.3.3.2}
-\contentsline {section}{\numberline {3.4}Les impl\IeC {\'e}mentations GPU des algorithmes de filtrage}{28}{section.3.4}
+\contentsline {subsubsection}{\numberline {3.3.1.4}Les algorithmes de filtrage par dictionnaire}{25}{subsubsection.3.3.1.4}
+\contentsline {subsection}{\numberline {3.3.2}Les algorithmes de filtrage par patches}{25}{subsection.3.3.2}
+\contentsline {section}{\numberline {3.4}Les impl\IeC {\'e}mentations sur GPU des algorithmes de filtrage}{27}{section.3.4}
 \contentsline {subsection}{\numberline {3.4.1}Le filtrage par convolution}{28}{subsection.3.4.1}
 \contentsline {subsection}{\numberline {3.4.2}Le filtre m\IeC {\'e}dian}{28}{subsection.3.4.2}
-\contentsline {subsection}{\numberline {3.4.3}Le filtre bilat\IeC {\'e}ral}{29}{subsection.3.4.3}
+\contentsline {subsection}{\numberline {3.4.3}Le filtre bilat\IeC {\'e}ral}{30}{subsection.3.4.3}
 \contentsline {subsection}{\numberline {3.4.4}Les filtres par patches}{31}{subsection.3.4.4}
 \contentsline {section}{\numberline {3.5}Les techniques de segmentation}{31}{section.3.5}
 \contentsline {subsection}{\numberline {3.5.1}Analyse d'histogramme}{32}{subsection.3.5.1}
-\contentsline {subsection}{\numberline {3.5.2}Partitionnement de graphe}{34}{subsection.3.5.2}
+\contentsline {subsection}{\numberline {3.5.2}Partitionnement de graphe}{33}{subsection.3.5.2}
 \contentsline {subsection}{\numberline {3.5.3}kernel-means, mean-shift et apparent\IeC {\'e}s}{35}{subsection.3.5.3}
 \contentsline {subsection}{\numberline {3.5.4}Les contours actifs, ou \textit {snakes}}{37}{subsection.3.5.4}
 \contentsline {subsection}{\numberline {3.5.5}M\IeC {\'e}thodes hybrides}{39}{subsection.3.5.5}
-\contentsline {section}{\numberline {3.6}Les impl\IeC {\'e}mentations GPU des techniques de segmentation}{39}{section.3.6}
+\contentsline {section}{\numberline {3.6}Les impl\IeC {\'e}mentations sur GPU des techniques de segmentation}{40}{section.3.6}
 \contentsline {subsection}{\numberline {3.6.1}Calcul d'histogramme}{40}{subsection.3.6.1}
 \contentsline {subsection}{\numberline {3.6.2}Partitionnement de graphe}{40}{subsection.3.6.2}
-\contentsline {subsection}{\numberline {3.6.3}K-means, mean-shift et apparent\IeC {\'e}s}{41}{subsection.3.6.3}
+\contentsline {subsection}{\numberline {3.6.3}K-means, mean-shift et apparent\IeC {\'e}s}{42}{subsection.3.6.3}
 \contentsline {subsection}{\numberline {3.6.4}Snakes et Level set}{43}{subsection.3.6.4}
 \contentsline {subsection}{\numberline {3.6.5}Algorithmes hybrides}{46}{subsection.3.6.5}
 \contentsline {section}{\numberline {3.7}Conclusion}{47}{section.3.7}
@@ -60,21 +60,24 @@
 \contentsline {subsection}{\numberline {5.2.1}Isolines \IeC {\'e}valu\IeC {\'e}es semi-globalement}{75}{subsection.5.2.1}
 \contentsline {subsection}{\numberline {5.2.2}Isolines \IeC {\`a} segments pre-\IeC {\'e}valu\IeC {\'e}s - mod\IeC {\`e}le PI-PD}{76}{subsection.5.2.2}
 \contentsline {subsection}{\numberline {5.2.3}Mod\IeC {\`e}le PI-PD hybride}{79}{subsection.5.2.3}
-\contentsline {subsubsection}{\numberline {5.2.3.1}Le d\IeC {\'e}tecteur de zone \IeC {\`a} faible pente}{80}{subsubsection.5.2.3.1}
+\contentsline {subsubsection}{\numberline {5.2.3.1}Le d\IeC {\'e}tecteur de zone \IeC {\`a} faible pente}{81}{subsubsection.5.2.3.1}
 \contentsline {section}{\numberline {5.3}R\IeC {\'e}sultats}{83}{section.5.3}
-\contentsline {section}{\numberline {5.4}Conclusion}{84}{section.5.4}
-\contentsline {chapter}{\numberline {6}Le filtre m\IeC {\'e}dian sur GPU}{89}{chapter.6}
-\contentsline {section}{\numberline {6.1}Introduction}{89}{section.6.1}
-\contentsline {section}{\numberline {6.2}Les transferts de donn\IeC {\'e}es}{89}{section.6.2}
-\contentsline {section}{\numberline {6.3}Utilisation des registres}{90}{section.6.3}
-\contentsline {subsection}{\numberline {6.3.1}La s\IeC {\'e}lection de la valeur m\IeC {\'e}diane}{91}{subsection.6.3.1}
-\contentsline {subsection}{\numberline {6.3.2}Masquage des latences}{92}{subsection.6.3.2}
-\contentsline {section}{\numberline {6.4}R\IeC {\'e}sultats}{95}{section.6.4}
-\contentsline {section}{\numberline {6.5}Conclusion}{97}{section.6.5}
-\contentsline {chapter}{\numberline {7}Les filtres de convolution sur GPU}{99}{chapter.7}
-\contentsline {section}{\numberline {7.1}Introduction}{99}{section.7.1}
-\contentsline {section}{\numberline {7.2}Impl\IeC {\'e}mentation g\IeC {\'e}n\IeC {\'e}rique de la convolution non s\IeC {\'e}parable}{99}{section.7.2}
-\contentsline {section}{\numberline {7.3}Impl\IeC {\'e}mentation optimis\IeC {\'e}e de la convolution non s\IeC {\'e}parable}{101}{section.7.3}
-\contentsline {section}{\numberline {7.4}Cas de la convolution s\IeC {\'e}parable}{104}{section.7.4}
-\contentsline {section}{\numberline {7.5}Conclusion}{107}{section.7.5}
-\contentsline {chapter}{\numberline {8}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{109}{chapter.8}
+\contentsline {section}{\numberline {5.4}Extension aux images couleurs}{85}{section.5.4}
+\contentsline {subsection}{\numberline {5.4.1}Expression du crit\IeC {\`e}re}{85}{subsection.5.4.1}
+\contentsline {subsection}{\numberline {5.4.2}R\IeC {\'e}sultats}{86}{subsection.5.4.2}
+\contentsline {section}{\numberline {5.5}Conclusion}{88}{section.5.5}
+\contentsline {chapter}{\numberline {6}Le filtre m\IeC {\'e}dian sur GPU}{93}{chapter.6}
+\contentsline {section}{\numberline {6.1}Introduction}{93}{section.6.1}
+\contentsline {section}{\numberline {6.2}Les transferts de donn\IeC {\'e}es}{93}{section.6.2}
+\contentsline {section}{\numberline {6.3}Utilisation des registres}{94}{section.6.3}
+\contentsline {subsection}{\numberline {6.3.1}La s\IeC {\'e}lection de la valeur m\IeC {\'e}diane}{95}{subsection.6.3.1}
+\contentsline {subsection}{\numberline {6.3.2}Masquage des latences}{96}{subsection.6.3.2}
+\contentsline {section}{\numberline {6.4}R\IeC {\'e}sultats}{99}{section.6.4}
+\contentsline {section}{\numberline {6.5}Conclusion}{101}{section.6.5}
+\contentsline {chapter}{\numberline {7}Les filtres de convolution sur GPU}{103}{chapter.7}
+\contentsline {section}{\numberline {7.1}Introduction}{103}{section.7.1}
+\contentsline {section}{\numberline {7.2}Impl\IeC {\'e}mentation g\IeC {\'e}n\IeC {\'e}rique de la convolution non s\IeC {\'e}parable}{103}{section.7.2}
+\contentsline {section}{\numberline {7.3}Impl\IeC {\'e}mentation optimis\IeC {\'e}e de la convolution non s\IeC {\'e}parable}{105}{section.7.3}
+\contentsline {section}{\numberline {7.4}Cas de la convolution s\IeC {\'e}parable}{108}{section.7.4}
+\contentsline {section}{\numberline {7.5}Conclusion}{111}{section.7.5}
+\contentsline {chapter}{\numberline {8}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{113}{chapter.8}