Parametric fuzzy sets for automatic color naming

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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.
Original languageEnglish
Pages (from-to)2582-2593
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Publication statusPublished - 1 Oct 2008


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