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Parallelization of the Algorithm K-means Applied in Image Segmentation

by Cristian Jose´ Lo´pez Del A´ Lamo, Lizeth Joseline Fuentes P´erez, Luciano Arnaldo Romero Calla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 17
Year of Publication: 2014
Authors: Cristian Jose´ Lo´pez Del A´ Lamo, Lizeth Joseline Fuentes P´erez, Luciano Arnaldo Romero Calla
10.5120/15441-4051

Cristian Jose´ Lo´pez Del A´ Lamo, Lizeth Joseline Fuentes P´erez, Luciano Arnaldo Romero Calla . Parallelization of the Algorithm K-means Applied in Image Segmentation. International Journal of Computer Applications. 88, 17 ( February 2014), 1-4. DOI=10.5120/15441-4051

@article{ 10.5120/15441-4051,
author = { Cristian Jose´ Lo´pez Del A´ Lamo, Lizeth Joseline Fuentes P´erez, Luciano Arnaldo Romero Calla },
title = { Parallelization of the Algorithm K-means Applied in Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 17 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number17/15441-4051/ },
doi = { 10.5120/15441-4051 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:49.794210+05:30
%A Cristian Jose´ Lo´pez Del A´ Lamo
%A Lizeth Joseline Fuentes P´erez
%A Luciano Arnaldo Romero Calla
%T Parallelization of the Algorithm K-means Applied in Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 17
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization techniques and synchronization, which is applied to image segmentation. In the results obtained, the parallel k-means algorithm, improvement 50% to the algorithm sequential k-means.

References
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Index Terms

Computer Science
Information Sciences

Keywords

parallelization k-means segmentation images

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