@InProceedings{RochaHauaWainGold:2008:AuPrCl,
author = "Rocha, Anderson and Hauagge, Daniel C. and Wainer, Jacques and
Goldenstein, Siome",
affiliation = "Institute of Computing, University of Campinas (Unicamp) and
Institute of Computing, University of Campinas (Unicamp) and
Institute of Computing, University of Campinas (Unicamp) and
Institute of Computing, University of Campinas (Unicamp)",
title = "Automatic produce classification from images using color, texture
and appearance cues",
booktitle = "Proceedings...",
year = "2008",
editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Produce classification, multi-class categorization, produce data
set.",
abstract = "We propose a system to solve a multi-class produce categorization
problem. For that, we use statistical color, texture, and
structural appearance descriptors (bag-of-features). As the best
combination setup is not known for our problem, we combine several
individual features from the state-of-the-art in many different
ways to assess how they interact to improve the overall accuracy
of the system. We validate the system using an image data set
collected on our local fruits and vegetables distribution
center.",
conference-location = "Campo Grande, MS, Brazil",
conference-year = "12-15 Oct. 2008",
doi = "10.1109/SIBGRAPI.2008.9",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.9",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/UNhVf",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNhVf",
targetfile = "rocha-AutomaticProduceClassification.pdf",
urlaccessdate = "2024, May 02"
}