Parallelization of the Algorithm K-means Applied in Image Segmentation
Cristian J. López del Alamo, Lizeth J. Fuentes Pérez, Luciano A. Romero Calla
Published in International Journal of Computer Applications (IJCA), 2014
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.
DOI: 10.5120/15441-4051
BibTeX:
@Article{LFR14,
author = { {Lopez Del Alamo}, Cristian J. and {Fuentes Perez}, Lizeth J. and {Romero Calla}, Luciano A. },
title = { Parallelization of the Algorithm K-means Applied in Image Segmentation },
volume = { 88 },
number = { 17 },
pages = { 1-4 },
year = { 2014 },
doi = { 10.5120/15441-4051 },
journaltitle = { International Journal of Computer Applications }
}