@InProceedings{FariasFariMarrClua:2013:PaImSe,
author = "Farias, Renato and Farias, Ricardo and Marroquim, Ricardo and
Clua, Esteban",
affiliation = "{Universidade Federal do Rio de Janeiro} and {Universidade Federal
do Rio de Janeiro} and {Universidade Federal do Rio de Janeiro}
and {Universidade Federal Fluminense}",
title = "Parallel image segmentation using reduction-sweeps on multicore
processors and GPUs",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Image segmentation, computer vision, GPU programming, parallel
programming.",
abstract = "In this paper we introduce the Reduction Sweep algorithm, a novel
graph-based image segmentation algorithm that is designed for easy
parallelization. It is based on a clustering approach focusing on
local image characteristics. Each pixel is compared with its
neighbors in an implicitly independent manner, and those deemed
sufficiently similar according to a color criterion are joined. We
achieve fast execution times while still maintaining the visual
quality of the results. The algorithm is presented in four
different implementations: sequential CPU, parallel CPU, GPU, and
hybrid CPU-GPU. We compare the execution times of the four
versions with each other and with other closely related image
segmentation algorithms.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.28",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.28",
language = "en",
ibi = "8JMKD3MGPBW34M/3EE7ACL",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EE7ACL",
targetfile = "sibgrapi-camera-ready-no-bookmarks.pdf",
urlaccessdate = "2024, Apr. 28"
}