Couleur

Style LaTeX plain Style LaTeX authordate  Entrées Bibtex
@Unpublished{brun-02-8,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}

 }