Visualization of fuzzy data using generalized animation

In this paper, we present methods for visualization of fuzzy data based on the sensitivity of the human visual system to motion and dynamic changes and the ease with which electronic display devices can change their display. The methods presented include taking an otherwise static image and displaying in an animation loop either its segmented components or a series of blurred versions of the whole image. This approach was applied to seasurface temperature data and was found to be effective in showing fuzzy details embedded in the data and in drawing the viewer's attention. This approach and methods could play a significant role in the display of browse products for massive data and information systems.