The combination of edge detection and region extraction in nonparametric color image segmentation
Information Sciences: an International Journal
Automatic pavement distress detection system
Information Sciences—Informatics and Computer Science: An International Journal
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
An evolutionary technique based on K-means algorithm for optimal clustering in RN
Information Sciences—Applications: An International Journal
Information Sciences—Informatics and Computer Science: An International Journal
Pattern Recognition Letters
Spectral fuzzy classification: an application
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Compression and decompression of images with discrete fuzzy transforms
Information Sciences: an International Journal
A high performance edge detector based on fuzzy inference rules
Information Sciences: an International Journal
On the relevance of some families of fuzzy sets
Fuzzy Sets and Systems
A discretization algorithm based on Class-Attribute Contingency Coefficient
Information Sciences: an International Journal
A note on fibered projective plane geometry
Information Sciences: an International Journal
Facial feature localization based on an improved active shape model
Information Sciences: an International Journal
Research on two different mathematical theories on control
Journal of Computational and Applied Mathematics
Editorial: Modelling uncertainty
Information Sciences: an International Journal
Fuzzy transforms for compression and decompression of color videos
Information Sciences: an International Journal
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Strictly stable families of aggregation operators
Fuzzy Sets and Systems
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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. Yanez, 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.