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 …

In computer vision, colour naming has been posed as a fuzzy‐set problem where each
colour category is modeled by a function that assigns a membership value to any given …

The ability to associate labels to colors is very natural for human beings. Though, this
apparently simple task hides very complex and still unsolved problems, spreading over …

In this paper, we introduce formal definitions of the concepts of fuzzy color and fuzzy color
space. First, we formalize the notion of fuzzy color for representing the correspondence …

Extensive research in color naming and color categorization has been more focused on a
small number of consensual color categories than towards the development of more subtle …

The extraction of high-level color descriptors is an increasingly important problem, as these
descriptions often provide links to image content. When combined with image segmentation …

Many color vision systems require a first step of classifying pixels in a given image into a
discrete set of color classes. In this paper we describe a human perceptionbased approach …

A unique color space segmentation method is introduced. It is founded on features of human
cognition, where 11 color categories are used in processing color. In two experiments …

Our ability to reliably name colors provides a link between visual perception and symbolic
cognition. In this paper, we investigate how a statistical model of color naming can enable …

In this paper, we review a number of techniques for fuzzy color quantization. We show that
the fuzzy membership paradigm is particularly suited to color quantization, where color …