@InProceedings{Cuadros-VargasGerCasBatNon:2006:Im2DMe,
author = "Cuadros-Vargas, Alex J. and Gerhardinger, Leandro C. and Castro,
M{\'a}rio and Batista Neto, Jo{\~a}o and Nonato, Luis G.",
affiliation = "{ICMC - Instituto de Ci{\^e}ncias Matem{\'a}ticas e de
Computa{\c{c}}{\~a}o - USP} and {ICMC - Instituto de
Ci{\^e}ncias Matem{\'a}ticas e de Computa{\c{c}}{\~a}o - USP}
and {ICMC - Instituto de Ci{\^e}ncias Matem{\'a}ticas e de
Computa{\~a}o - USP} and {ICMC - Instituto de Ci{\^e}ncias
Matem{\'a}ticas e de Computa{\~a}o - USP} and {ICMC - Instituto
de Ci{\^e}ncias Matem{\'a}ticas e de Computa{\~a}o - USP}",
title = "Improving 2D mesh image segmentation with Markovian Random
Fields",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Polygonal Meshes, Texture Analysis, Segmentation.",
abstract = "Traditional mesh segmentation methods normally operate on
geometrical models with no image information. On the other hand,
2D image-based mesh generation and segmentation counterparts, such
as Imesh \cite{Vargas:05} perform the task by following a set of
well defined rules derived from the geometry of the triangles, but
with no statistical information of the mesh elements. This paper
presents a novel segmentation method that combines the original
Imesh image-based segmentation approach with Markovian Random
Field (MRF) models. It takes an image as input, generate a mesh of
triangles and, by treating the mesh as a Markovian field, produces
quality unsupervised segmentation. The results have demonstrated
that the method not only provides better segmentation than that of
original Imesh, but is also capable of producing MRF-like
segmentation output for certain types of images, with considerable
cut in processing times.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.26",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.26",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/MfxFy",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MfxFy",
targetfile = "Vargas-MRF_Mesh.pdf",
urlaccessdate = "2025, Feb. 10"
}