@Unpublished{brun-02-8, author = {Luc Brun}, title = {Traitement d'images couleur}, year = 2002, url = {link to my lectures := http://www.greyc.ensicaen.fr/~luc/ENSEIGNEMENT/enseignement.html} theme = {couleur}, } @PhdThesis{brun-02-9, author = {Luc Brun}, title = {Traitement d'images couleur et pyramides combinatoires}, school = {Universit{'e} de Reims}, year = 2002, theme = {topologie,hierarchical,couleur,quantification,inversion}, type = {Habilitation {`a} diriger des recherches}, abstract = "We describe in this thesis three key steps of image processing algorithms. We first study the reflexion models which describe the image formation process. These models are used to obtain a segmentation of the image into materials and to reconstruct the surface of some of the regions previously segmented. The materials studded for the reconstruction stage are metallic ones. We also study quantization and inverse colormap operations. These operations are used to display an image onto low cost terminals. Such processes may also be applied into the image compression or image segmentation framework. We finally describe a new hierarchical model based on a topological representation of an image partition. The model named Combinatorial Pyramid is the only hierarchical model currently developed which allows to encode all the topological information.", url= {pdf:=http://www.greyc.ensicaen.fr/~luc/ARTICLES/hdr.pdf,ps.gz:=http://www.greyc.ensicaen.fr/~luc/ARTICLES/hdr.ps.gz} } @InBook{brun-02, author = {Luc {B}run and Alain Tr{'e}meau}, title = {Digital Color Imaging Handbook}, chapter = {9 : Color quantization}, pages = {589-637}, publisher = {CRC Press}, year = 2002, theme = {quantification,couleur}, series = {Electrical and Applied Signal Processing}, } @InProceedings{brun-99-4, author = {L. {B}run}, title = {Mod{`e}les Math{'e}matiques et Repr{'e}sentation discr{`e}tes pour la Description des Images Couleurs}, booktitle = {{'E}cole d'{'e}t{'e} - Images Couleur}, year = 1999, address = {Site GIAT Industries, Saint Etienne}, month = {September}, theme = {nonhierarchique,couleur}, url = {slides(ppt):=http://www.greyc.ensicaen.fr/~luc/ARTICLES/presentation_ecole_ete.ppt, article(.ps.gz):=http://www.greyc.ensicaen.fr/~luc/ARTICLES/ecole_ete.ps.gz}, abstract = "Nous allons pr{'e}senter dans ce document, un syst{`e}me permettant {`a} l'utilisateur de guider le processus de segmentation. La prise en compte des interventions de l'utilisateur et les modifications de la partition en fonction de celles-ci sont r{'e}alis{'e}es {`a} l'aide d'un mod{`e}le permettant de coder la g{'e}om{'e}trie et la topologie d'une partition. Ce mod{`e}le, combin{'e} {`a} plusieurs algorithmes de segmentation ainsi qu'a diverses fonctions d'{'e}ditions, permet {`a} l'utilisateur de d{'e}signer interactivement les r{'e}gions qui doivent {^e}tre d{'e}coup{'e}es ou fusionn{'e}es. Cette interaction entre l'utilisateur et les algorithmes de segmentation doit permettre d'obtenir de bons r{'e}sultats sur une tr{`e}s grande vari{'e}t{'e} d'images sans ajustement de param{`e}tres." } @InProceedings{hussenet-02-1, author = {Laurent Hussenet and Luc Brun}, title = {Reconstruction of Shiny objects}, booktitle = {Proceedings of the International Conference on Computer Vision and Graphics}, pages = {337-342}, year = 2002, editor = {Konrad Wojciechowseki}, address = {Zakopane, Poland}, month = {September}, theme = {couleur} } @InProceedings{hussenet-01, author = {Laurent Hussenet and Luc {B}run}, title = {Physic Based Classification for Color Images}, booktitle = {Physics in Signal & Image Processing}, pages = {173-176}, year = 2001, address = {Marseille}, month = {January}, organization = {Soci{'e}t{'e} de l'{'E}lectricit{'e}, de l'{'E}lectronique et des Technologies de l'Information et de la Communication}, url= {article :=http://www.greyc.ensicaen.fr/~luc/ARTICLES/psip_final.pdf}, abstract = " This paper presents a new method for segmenting color images into regions composed of an unique material. This method is based on a spectral reflection model and a characterization of the camera used for acquisitions. The study of these crucial points of the acquisition process allows us to define expressions which remain constants for all pixels's color corresponding to a same material. These constants are then used in the color segmentation process.", theme= {couleur} }