Digital library of construction informatics and information technology in civil engineering and construction
Digital library
Paper: sigradi2010_324
| Paper title: | Segmentación de imágenes digitales mediante técnicas de clustering complementadas con técnicas de crecimiento de regiones |
| Authors: | Toranzo, Lorca Gustavo; Pereira Barzaga Osvaldo; Arzola Ruiz José |
| 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. |
| Type: | |
| Year of publication: | 2010 |
| Keywords: | clustering; fuzzy k - means; image segmentation; k - means |
| Series: | CUMINCADes:SIGRADI |
| Download paper: | /pdfs/sigradi2010_324.content.pdf |
| Citation: | Toranzo, Lorca Gustavo; Pereira Barzaga Osvaldo; Arzola Ruiz José (2010). Segmentación de imágenes digitales mediante técnicas de clustering complementadas con técnicas de crecimiento de regiones. SIGraDi 2010_Proceedings of the 14th Congress of the Iberoamerican Society of Digital Graphics, pp. Bogotá, Colombia, November 17-19, 2010, pp. 324-327, http://itc.scix.net/paper/sigradi2010_324 |
hosted by University of Ljubljana
includes:
W78
includes:
W78
inspired by SciX, ported by Robert Klinc [2019]