id 
sigradi2010_324 
authors 
Toranzo, Lorca Gustavo; Pereira Barzaga Osvaldo; Arzola Ruiz José 
year 
2010 
title 
Segmentación de imágenes digitales mediante técnicas de clustering complementadas con técnicas de crecimiento de regiones 
source 
SIGraDi 2010_Proceedings of the 14th Congress of the Iberoamerican Society of Digital Graphics, pp. Bogotá, Colombia, November 1719, 2010, pp. 324327 
summary 
This paper proposes a solution to the problem of digital image segmentation based on clustering techniques. K  means and fuzzy k  means are clustering algorithms detailed within this study. We propose novel modifications to k  means and fuzzy k  means algorithms to vary objective functions and to use color difference as a distance measure. These new algorithms are guaranteed to obtain the same results as the originals while considerably reducing the execution time. Pixel growing is used to obtain connected structures in the results of clustering algorithms. 
keywords 
clustering; fuzzy k  means; image segmentation; k  means 
series 
SIGRADI 
email 
gtoranzo@uci.cu 
content 
file.pdf (159,130 bytes) 
discussion 
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last changed 
2010/12/11 15:25 