The use of color as a basis for segmenting images is attractive for a wide variety of industrial inspection applications, especially in the manufacturing of domestic goods, food, pharmaceuticals, toiletries and electronics. Human beings define colors, not formulae, or computer programs. Moreover, no two people have an identical view of what a color set, such as 'canary yellow' is. The article argues that teaching by showing is more relevant than the accepted methods of Color Science, in the design of factory-floor vision systems. Fast hardware for color recognition has been available for several years but has not yet received universal acceptance. This article explains how this equipment can be used in conjunction with symbolic processing software, based on the Artificial Intelligence language Prolog. Using this hardware-software system, a programmer is able to express ideas about colors in a natural way. The concepts of color set union, intersection, generalization and interpolation are all discussed.