@InProceedings{MoreiraCost:1995:MuImSe,
author = "Moreira, Jander and Costa, Luciano da Fontoura",
affiliation = "{Departamento de Computa{\c{c}}{\~a}o da Universidade de
S{\~a}o Carlos (UFSCar)} and {Instituto de F{\'{\i}}sica de
S{\~a}o Carlos (IFSC) da Universidade de S{\~a}o Paulo (USP)}",
title = "Multispectral image segmentation by chromaticity classification",
booktitle = "Anais...",
year = "1995",
editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino
d'{\'A}vila",
pages = "119--125",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 8. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "image segmentation, multispectral image segmentation, chromaticity
classification.",
abstract = "This paper describes a color segmentation technique, based on the
k-nearest-neighbor classification scheme, which operates on a
normalized version of the color image known as the chromaticity
image. An investigation was carried out in order to evaluate how
the classification behaves for different number of neighbors (k),
for distinct window sizes (in which an average of a sample feature
is taken), and for various numbers of samples per class. The
results, which are experimentally assessed by comparing the
obtained classifications with a standard reference (segmented by
human), shows that the method provides good overall accuracy and
robustness. The class space for the test image is also presented
in graphical form.",
conference-location = "S{\~a}o Carlos, SP, Brazil",
conference-year = "25-27 Oct. 1995",
isbn = "978-85-7669-273-7",
language = "en",
ibi = "8JMKD3MGPBW34M/3DJ99KH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DJ99KH",
targetfile = "15 Multispectral image.pdf",
type = "Segmenta{\c{c}}{\~a}o de Imagens",
urlaccessdate = "2024, May 01"
}