@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 :=https://brunl01.users.greyc.fr/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}

 }