Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields nonintuitive results for the user. We introduce color categories (or focal colors), determine that they are valid, and use them in two experiments. The experiments conducted prove the difference between color categorization by the cognitive processes color ...

In a companion paper [Pérez-Carpinell et al., Color Res Appl 2001;26:158–170], for a set of seven color references, we compared the methods of simultaneous and memory color matching by 15 protanomals and 21 deuteranomals, looking for differences between them and a group of 25 normal trichromat observers investigated previously [Pérez-Carpinell et al., Color Res Appl 1998;23:234–247]. In our cur...

The introduction of ICC-based color management solutions promises a multitude of solutions to graphic arts imaging needs. To those of us who have been involving in the technology of graphic arts imaging, the best way to understand the performance of CMS is to test it. We decided to focus our initial effort on color matching aspects of the ICC profiles. To test the degree of color matching, a nu...

Systems for arranging and describing color include “color spaces” and “color order systems.” In a color space, tristimulus values R, G, and B are computable for every light (every point in the space). In familiar color spaces, such computation makes use of three functions of wavelength (the color-matching functions that define one of the CIE Standard Observers), one function corresponding to ea...