Abstract
This paper introduces a novel approach toward the development of a perceptual color space. It is based on fuzzification of a well-known HSI color model. Specifically, we partitioned the gamut of feasible colors in HSI space corresponding to standardized linguistic tags. In fact, color categorization was done based on humans' personal judgments collected from the survey. This can enhance the color matching and similarity searches significantly by yielding more intuitive output for users. We believe that the proposed method has potential in various color image applications, involving query processing, for example, apparel coordination.