Paper Info
Title
Granular Modeling of Fuzzy Color Categories
Abstract
In this paper, we introduce fuzzy granular colors for modeling color categories. Fuzzy granular colors are built by aggregating fuzzy colors having semantic relationships with regard to a certain color category. Our proposal allows us to model color categories which comprise disjoint fuzzy subsets of colors, as well as those having a nonconvex representation in the color space, among other advantages. Such categories are used very often by humans in different real contexts. Fuzzy granular colors are appropriate to provide color models able to deal with ill-defined boundaries, subjectivity, and context-dependence. We illustrate the advantages of our approach with respect to current state of the art with several experiments.
Year
DOI
Venue
2020
10.1109/TFUZZ.2019.2923966
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Color modeling,fuzzy color,fuzzy color space,human perception,image analysis
Journal
28
Issue
ISSN
Citations 
9
1063-6706
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
J. Chamorro-Martinez1322.79
James M. Keller23201436.69