title: Parametric fuzzy sets for automatic color naming.
abstract: In this paper we present a parametric model for automatic color naming where each color category is modeled as a fuzzy set with a parametric membership function. The parameters of the functions are estimated in a fitting process using data derived from psychophysical experiments. The name assignments obtained by the model agree with previous psychophysical experiments, and therefore the high-level color-naming information provided can be useful for different computer vision applications where the use of a parametric model will introduce interesting advantages in terms of implementation costs, data representation, model analysis, and model updating.
authors.affiliation: Computer Vision Center, Campus UAB, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain. robert@cvc.uab.es
authors.forename: Robert
authors.initials: R
authors.lastname: Benavente
authors.forename: Maria
authors.initials: M
authors.lastname: Vanrell
authors.forename: Ramon
authors.initials: R
authors.lastname: Baldrich
mesh_terms: D000465:Algorithms; D003116:Color; D003124:Colorimetry / Q000379:methods*; D017143:Fuzzy Logic; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity