Gomez, D. and Montero, Javier and Yáñez, Javier
(2006)
*A coloring fuzzy graph approach for image classification.*
Information Sciences, 176
(24).
pp. 3645-3657.
ISSN 0020-0255

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Restringido a Repository staff only hasta 2020. 322kB |

Official URL: http://www.sciencedirect.com/science/article/pii/S0020025506000399

## Abstract

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.

Item Type: | Article |
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Uncontrolled Keywords: | Image classification; Decision making processes; Coloring problem |

Subjects: | Sciences > Computer science > Artificial intelligence |

ID Code: | 16677 |

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Deposited On: | 10 Oct 2012 08:19 |

Last Modified: | 02 Jun 2016 16:53 |

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