TY - JOUR
T1 - Parametric fuzzy sets for automatic color naming
AU - Benavente, Robert
AU - Vanrell, Maria
AU - Baldrich, Ramon
PY - 2008/10/1
Y1 - 2008/10/1
N2 - 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. © 2008 Optical Society of America.
AB - 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. © 2008 Optical Society of America.
U2 - https://doi.org/10.1364/JOSAA.25.002582
DO - https://doi.org/10.1364/JOSAA.25.002582
M3 - Article
SN - 1084-7529
VL - 25
SP - 2582
EP - 2593
JO - Journal of the Optical Society of America A: Optics and Image Science, and Vision
JF - Journal of the Optical Society of America A: Optics and Image Science, and Vision
ER -