RT Journal Article
T1 A coloring fuzzy graph approach for image classification
A1 Gómez González, Daniel
A1 Montero De Juan, Francisco Javier
A1 Yáñez Gestoso, Francisco Javier
AB One of the main problems in practice is the difficulty in dealing with membership functions. Many decision makers ask for a graphical representation to help them to visualize results. In this paper, we point out that some useful tools for fuzzy classification can be derived from fuzzy coloring procedures. In particular, we bring here a crisp grey coloring algorithm based upon a sequential application of a basic black and white binary coloring procedure, already introduced in a previous paper [D. Gomez, J. Montero, J. Yañez, C. Poidomani, A graph coloring algorithm approach for image segmentation, Omega, in press]. In this article, the image is conceived as a fuzzy graph defined on the set of pixels where fuzzy edges represent the distance between pixels. In this way,we can obtain a more flexible hierarchical structure of colors, which in turn should give useful hints about those classes with unclear boundaries.
PB Elsevier Science Inc
SN 0020-0255
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/50136
UL https://hdl.handle.net/20.500.14352/50136
LA eng
NO Gomez, D., Montero, J., Yanez, J.: A coloring fuzzy graph approach for image classification. Information Sciences. 176, 3645-3657 (2006). https://doi.org/10.1016/j.ins.2006.01.006
DS Docta Complutense
RD 8 abr 2025