@InProceedings{SantosBati:2007:FeSeEq,
author = "Santos, Davi Pereira dos and Batista, Joao",
affiliation = "{ICMC - USP} and {ICMC - USP}",
title = "Feature selection with equalized salience measures and its
application to segmentation",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Feature Selection, texture, salience measures.",
abstract = "Segmentation is a crucial step in Computer Vision in which texture
plays an important role. The existence of a large amount of
methods from which texture can be computed is, sometimes, a hurdle
to overcome when it comes to modeling solutions for texture-based
segmentation. Following the excellence of the natural vision
system and its generality, this work has adopted a feature
selection method based on salience of synaptic connections of a
Multilayer Perceptron neural network. Unlike traditional
approaches, this paper introduces an equalization scheme to
salience measures which contributed to significantly improve the
selection of the most suitable features and, hence, yield better
segmentation. The proposed method is compared with exhaustive
search according to the Jeffrey-Matusita distance criterion.
Segmentation for images of natural scenes has also been provided
as a probable application of the method.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.17",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.17",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/R28GU",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R28GU",
targetfile = "PID458377.pdf",
urlaccessdate = "2024, Apr. 29"
}