Poincare maps have proved to be a valuable tool in the analysis of sev
eral dynamical systems modeled by differential equations. These maps a
re generated by reducing the continuous flow to a two dimensional disc
rete dynamics. From a map it is possible to identify the chaos phenome
non in a system under the influence of an external parameter. If this
external parameter is variable, one can study the behavior of the syst
em by interpolating the set of corresponding Poincare maps. Despite it
s usefulness, the computer graphics work carried out so far has been l
imited to the display and plot of Poincare maps. In this paper a proto
type for the computer analysis of Poincare maps is described. We show
that, from the point-of-view of computer graphics, we can process Poin
care maps as noisy images. This approach not only facilitates the part
ition of Poincare maps into regular and chaotic regions but also offer
s possibilities of visualizing the continuous evolution of a system by
varying the external parameters. Some results are given to illustrate
the functionalities of the prototype. (C) 1998 Elsevier Science Ltd.
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