Abstract
Many papers of image processing have been published until now, most of which dealt with the pattern recognition, boundary detection, noise elimination and three-dimensional understanding. Few paper treated the meaning of image. Considering the rapid progress of multi-media information systems, the problem of communication between human and image must be very essential in near future. The problem of the impact of image on human mind has been studied in psychology. On the other hand, almost nothing has been studied about the transmission of mental image of human to picture. In this paper, the authors develop a system where a colorless landscape (line drawing) is painted automatically in accordance with the seasonal image of human. Since the image in human mind is abstract, it is difficult to trasnform it to computer command. And color is not only a physical variable but also a psychological one, therefore mathematical representation is almost impossible. The authors first express the seasonal color image by natural language as to each element. Next, the rules which translate the linguistic expression to RGB component are introduced. The variables in the above rules are all sensory and qualitative, which are conveniently represented by fuzzy sets. By using these rules and approximate reasoning very delicate coloring is realized. Moreover, some additional rules of modification are considered, in order to adjust the color image when the season and the time are different from the standard. Approximate reasoning is applied too for the modification. Some different kinds of landscape are colored by this method, and most of the results can express human image satisfactorily.
