@InProceedings{LopesCons:2005:RBPeMo,
author = "Lopes, Fabr{\'{\i}}cio Martins and Consularo, Lu{\'{\i}}s
Augusto",
affiliation = "{CEFET-PR - Centro Federal de Educa{\c{c}}{\~a}o
Tecnol{\'o}gica do Paran{\'a}} and Av. Alberto Carazzai, 1640,
86300-000, Corn{\'e}lio Proc{\'o}pio, PR, Brasil. and {UNIMEP -
Universidade Metodista de Piracicaba} and Rodovia do
A{\c{c}}{\'u}car, Km 156, 13400-911, Piracicaba, SP, Brasil.",
title = "A RBFN perceptive model for image thresholding",
booktitle = "Proceedings...",
year = "2005",
editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro
C{\'e}sar",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Segmentation, Thresholding, RBFN, Psychophysical.",
abstract = "The digital image segmentation challenge has demanded the
development of a plethora of methods and approaches. A quite
simple approach, the thresholding, has still been intensively
applied mainly for real-time vision applications. However, the
threshold criteria often depend on entropic or statistical image
features. This work searches a relationship between these features
and subjective human threshold decisions. Then, an image
thresholding model based on these subjective decisions and global
statistical features was developed by training a Radial Basis
Functions Network (RBFN). This work also compares the automatic
thresholding methods to the human responses. Furthermore, the
RBFN-modeled answers were compared to the automatic thresholding.
The results show that entropic-based method was closer to
RBFN-modeled thresholding than variance-based method. It was also
found that another automatic method which combines global and
local criteria presented higher correlation with human
responses.",
conference-location = "Natal, RN, Brazil",
conference-year = "9-12 Oct. 2005",
doi = "10.1109/SIBGRAPI.2005.8",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2005.8",
language = "en",
ibi = "6qtX3pFwXQZeBBx/GLBoU",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/GLBoU",
targetfile = "lopesf_rbfnperceptive.pdf",
urlaccessdate = "2024, Apr. 27"
}