\@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {Image originale}}}{35}{figure.2.16}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(b)}{\ignorespaces {Image segment\IeC {\'e}e par mean-shift standard}}}{35}{figure.2.16}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(c)}{\ignorespaces {Image segment\IeC {\'e}e par mean-shift kd-tree}}}{35}{figure.2.16}}
+\citation{snakegvf06}
+\citation{bauer2009segmentation}
+\citation{li2011robust}
+\citation{snakegvfopencl12}
+\citation{snakegvf06}
+\citation{zheng2012fast}
\newlabel{fig-l7-brain}{{2.17(a)}{36}{Subfigure 2 2.17(a)\relax }{subfigure.2.17.1}{}}
\newlabel{sub@fig-l7-brain}{{(a)}{36}{Subfigure 2 2.17(a)\relax }{subfigure.2.17.1}{}}
\newlabel{fig-l7-reins}{{2.17(b)}{36}{Subfigure 2 2.17(b)\relax }{subfigure.2.17.2}{}}
\newlabel{sub@fig-l7-reins}{{(b)}{36}{Subfigure 2 2.17(b)\relax }{subfigure.2.17.2}{}}
\@writefile{lof}{\contentsline {figure}{\numberline {2.17}{\ignorespaces Segmentation d'images issues d'examens IRM par la m\IeC {\'e}thode des level set \IeC {\`a} bande \IeC {\'e}troite.}}{36}{figure.2.17}}
-\newlabel{fig-meanshift-castle}{{2.17}{36}{Segmentation d'images issues d'examens IRM par la méthode des level set à bande étroite}{figure.2.17}{}}
+\newlabel{fig-l7-narrow}{{2.17}{36}{Segmentation d'images issues d'examens IRM par la méthode des level set à bande étroite}{figure.2.17}{}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(a)}{\ignorespaces {Cerveau 256$\times $256$\times $256 en 7~s}}}{36}{figure.2.17}}
\@writefile{lof}{\contentsline {subfigure}{\numberline{(b)}{\ignorespaces {Reins et aorte, 256$\times $256$\times $272 en 16~s}}}{36}{figure.2.17}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{37}{chapter.3}}
+\citation{li2011robust}
+\citation{snakegvfopencl12}
+\citation{arbelaez2011contour}
+\citation{5459410}
+\citation{martin2001database}
+\citation{bresenham1965algorithm}
+\citation{martin2001database}
+\citation{martin2001database}
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.6.5}Algorithmes hybrides}{37}{subsection.2.6.5}}
+\@writefile{lof}{\contentsline {figure}{\numberline {2.18}{\ignorespaces Extraction de contour par la version GPU de l'algorithme gPb. Les images sont issues de la base BSDS \cite {martin2001database}}}{38}{figure.2.18}}
+\newlabel{fig-gPb}{{2.18}{38}{Extraction de contour par la version GPU de l'algorithme gPb. Les images sont issues de la base BSDS \cite {martin2001database}\relax }{figure.2.18}{}}
+\@writefile{toc}{\contentsline {chapter}{\numberline {3}La segmentation orient\IeC {\'e}e r\IeC {\'e}gions dans les images bruit\IeC {\'e}es}{39}{chapter.3}}
\@writefile{lof}{\addvspace {10\p@ }}
\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{37}{section.3.1}}
-\@writefile{toc}{\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{37}{section.3.2}}
-\@writefile{toc}{\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{39}{chapter.4}}
+\@writefile{toc}{\contentsline {section}{\numberline {3.1}Pr\IeC {\'e}sentation - existant}{39}{section.3.1}}
+\@writefile{toc}{\contentsline {section}{\numberline {3.2}La parall\IeC {\`e}lisation du snake polygonal}{39}{section.3.2}}
+\@writefile{toc}{\contentsline {chapter}{\numberline {4}Le filtrage des images sur GPU}{41}{chapter.4}}
\@writefile{lof}{\addvspace {10\p@ }}
\@writefile{lot}{\addvspace {10\p@ }}
-\@writefile{toc}{\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{39}{section.4.1}}
-\@writefile{toc}{\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{39}{section.4.2}}
-\@writefile{toc}{\contentsline {section}{\numberline {4.3}Filtres de convolution}{39}{section.4.3}}
+\@writefile{toc}{\contentsline {section}{\numberline {4.1}Algorithme de r\IeC {\'e}duction de bruit par recherche des lignes de niveaux}{41}{section.4.1}}
+\@writefile{toc}{\contentsline {section}{\numberline {4.2}Filtre m\IeC {\'e}dian}{41}{section.4.2}}
+\@writefile{toc}{\contentsline {section}{\numberline {4.3}Filtres de convolution}{41}{section.4.3}}
\bibstyle{plain}
\bibdata{biblio}
-\@writefile{toc}{\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{41}{chapter.5}}
+\@writefile{toc}{\contentsline {chapter}{\numberline {5}Conclusion g\IeC {\'e}n\IeC {\'e}rale}{43}{chapter.5}}
\@writefile{lof}{\addvspace {10\p@ }}
\@writefile{lot}{\addvspace {10\p@ }}
\bibcite{kddcup99}{1}
\bibcite{aldinucci2012parallel}{5}
\bibcite{arbelaez2011contour}{6}
\bibcite{arora1998approximation}{7}
-\bibcite{bertaux2004speckle}{8}
-\bibcite{boykov2004experimental}{9}
-\bibcite{1467423}{10}
-\bibcite{BuadesCM06}{11}
-\bibcite{Caselles99topographicmaps}{12}
-\bibcite{cates2004gist}{13}
-\bibcite{chandran2009computational}{14}
-\bibcite{che2008performance}{15}
-\bibcite{chen09}{16}
-\bibcite{1093941}{17}
-\bibcite{cheng1995mean}{18}
-\bibcite{cherkassky1997implementing}{19}
-\bibcite{ChesnaudRB99}{20}
-\bibcite{cohen1993surface}{21}
-\bibcite{comaniciu1999mean}{22}
-\bibcite{comaniciu2002mean}{23}
-\bibcite{cutrona1990synthetic}{24}
-\bibcite{Dabov06imagedenoising}{25}
-\bibcite{Dabov09bm3dimage}{26}
-\bibcite{Daubechies:1992:TLW:130655}{27}
-\bibcite{dixit2005gpu}{28}
-\bibcite{elad2006image}{29}
-\bibcite{felzenszwalb2004efficient}{30}
-\bibcite{fluck2006gpu}{31}
-\bibcite{foley1994introduction}{32}
-\bibcite{ford1955simple}{33}
-\bibcite{fukunaga1975estimation}{34}
-\bibcite{fulkerson2012really}{35}
-\bibcite{GallandBR03}{36}
-\bibcite{GermainR01}{37}
-\bibcite{nlmeansgpubelge}{38}
-\bibcite{healey1994radiometric}{39}
-\bibcite{hochbaum2013simplifications}{40}
-\bibcite{5170921}{41}
-\bibcite{humphrey1924psychology}{42}
-\bibcite{jeong2009scalable}{43}
-\bibcite{5402362}{44}
-\bibcite{KassWT88}{45}
-\bibcite{keselman1998extraction}{46}
-\bibcite{cmla2009Kes}{47}
-\bibcite{kohli2007dynamic}{48}
-\bibcite{lefohn2003inter}{49}
-\bibcite{lefohn2003interactive}{50}
-\bibcite{lefohn2005streaming}{51}
-\bibcite{li2009mean}{52}
-\bibcite{macqueen1967some}{53}
-\bibcite{Mallat:2008:WTS:1525499}{54}
-\bibcite{mancuso2001introduction}{55}
-\bibcite{coil}{56}
-\bibcite{osher1988fronts}{57}
-\bibcite{4310076}{58}
-\bibcite{PALHANOXAVIERDEFONTES}{59}
-\bibcite{pelleg2000x}{60}
-\bibcite{4287006}{61}
-\bibcite{1521458}{62}
-\bibcite{4587843}{63}
-\bibcite{Roberts:2010:WGA:1921479.1921499}{64}
-\bibcite{ronfard1994region}{65}
-\bibcite{rumpf2001level}{66}
-\bibcite{6288187}{67}
-\bibcite{sethian1996fast}{68}
-\bibcite{kmeansgpuopengl}{69}
-\bibcite{shi2000normalized}{70}
-\bibcite{convolutionsoup}{71}
-\bibcite{graphcutscuda}{72}
-\bibcite{strang1999discrete}{73}
-\bibcite{theuwissen2001ccd}{74}
-\bibcite{710815}{75}
-\bibcite{tukey77}{76}
-\bibcite{vedaldi2008quick}{77}
-\bibcite{4563095}{78}
-\bibcite{Vineet:2009:FMS:1572769.1572796}{79}
-\bibcite{wang2001image}{80}
-\bibcite{wang2003image}{81}
-\bibcite{Wang04imagequality}{82}
-\bibcite{wu1993optimal}{83}
-\bibcite{xiao2010efficient}{84}
-\bibcite{5206542}{85}
-\bibcite{Zahn:1971:GMD:1309266.1309359}{86}
-\bibcite{zheng2011performance}{87}
+\bibcite{bauer2009segmentation}{8}
+\bibcite{bertaux2004speckle}{9}
+\bibcite{boykov2004experimental}{10}
+\bibcite{bresenham1965algorithm}{11}
+\bibcite{1467423}{12}
+\bibcite{BuadesCM06}{13}
+\bibcite{Caselles99topographicmaps}{14}
+\bibcite{5459410}{15}
+\bibcite{cates2004gist}{16}
+\bibcite{chandran2009computational}{17}
+\bibcite{che2008performance}{18}
+\bibcite{chen09}{19}
+\bibcite{1093941}{20}
+\bibcite{cheng1995mean}{21}
+\bibcite{cherkassky1997implementing}{22}
+\bibcite{ChesnaudRB99}{23}
+\bibcite{cohen1993surface}{24}
+\bibcite{comaniciu1999mean}{25}
+\bibcite{comaniciu2002mean}{26}
+\bibcite{cutrona1990synthetic}{27}
+\bibcite{Dabov06imagedenoising}{28}
+\bibcite{Dabov09bm3dimage}{29}
+\bibcite{Daubechies:1992:TLW:130655}{30}
+\bibcite{dixit2005gpu}{31}
+\bibcite{elad2006image}{32}
+\bibcite{felzenszwalb2004efficient}{33}
+\bibcite{fluck2006gpu}{34}
+\bibcite{foley1994introduction}{35}
+\bibcite{ford1955simple}{36}
+\bibcite{fukunaga1975estimation}{37}
+\bibcite{fulkerson2012really}{38}
+\bibcite{GallandBR03}{39}
+\bibcite{GermainR01}{40}
+\bibcite{nlmeansgpubelge}{41}
+\bibcite{snakegvf06}{42}
+\bibcite{healey1994radiometric}{43}
+\bibcite{hochbaum2013simplifications}{44}
+\bibcite{5170921}{45}
+\bibcite{humphrey1924psychology}{46}
+\bibcite{jeong2009scalable}{47}
+\bibcite{5402362}{48}
+\bibcite{KassWT88}{49}
+\bibcite{keselman1998extraction}{50}
+\bibcite{cmla2009Kes}{51}
+\bibcite{kohli2007dynamic}{52}
+\bibcite{lefohn2003inter}{53}
+\bibcite{lefohn2003interactive}{54}
+\bibcite{lefohn2005streaming}{55}
+\bibcite{li2009mean}{56}
+\bibcite{li2011robust}{57}
+\bibcite{macqueen1967some}{58}
+\bibcite{Mallat:2008:WTS:1525499}{59}
+\bibcite{mancuso2001introduction}{60}
+\bibcite{martin2001database}{61}
+\bibcite{coil}{62}
+\bibcite{osher1988fronts}{63}
+\bibcite{4310076}{64}
+\bibcite{PALHANOXAVIERDEFONTES}{65}
+\bibcite{pelleg2000x}{66}
+\bibcite{4287006}{67}
+\bibcite{1521458}{68}
+\bibcite{4587843}{69}
+\bibcite{Roberts:2010:WGA:1921479.1921499}{70}
+\bibcite{ronfard1994region}{71}
+\bibcite{rumpf2001level}{72}
+\bibcite{6288187}{73}
+\bibcite{sethian1996fast}{74}
+\bibcite{kmeansgpuopengl}{75}
+\bibcite{shi2000normalized}{76}
+\bibcite{snakegvfopencl12}{77}
+\bibcite{convolutionsoup}{78}
+\bibcite{graphcutscuda}{79}
+\bibcite{strang1999discrete}{80}
+\bibcite{theuwissen2001ccd}{81}
+\bibcite{710815}{82}
+\bibcite{tukey77}{83}
+\bibcite{vedaldi2008quick}{84}
+\bibcite{4563095}{85}
+\bibcite{Vineet:2009:FMS:1572769.1572796}{86}
+\bibcite{wang2001image}{87}
+\bibcite{wang2003image}{88}
+\bibcite{Wang04imagequality}{89}
+\bibcite{wu1993optimal}{90}
+\bibcite{xiao2010efficient}{91}
+\bibcite{5206542}{92}
+\bibcite{Zahn:1971:GMD:1309266.1309359}{93}
+\bibcite{zheng2011performance}{94}
+\bibcite{zheng2012fast}{95}
\citation{zheng2011performance}
\citation{graphcutscuda}
\citation{fulkerson2012really}
+\citation{martin2001database}
