Emotional Evaluation of Color Patterns Based on Rough Sets

If the emotion that a man or woman feels seeing color patterns in average sense can be extracted as rules, the result is useful to make an emotion-based color image retrieval system. This paper shows that the rough set theory provides a convenient tool for the purpose. We collect the emotion data when people see a set of predesigned random color patterns and extract the coarse rules for the emotional evaluation of the color patterns using VPRS (Variable Precision Rough Set) theory. Those rules can be used not only to approximately evaluate color patterns such as wall papers but also to set the initial conditions for the precise mapping system based on adaptive fuzzy logic from image features to emotion spaces represented by linguistic image scales.