Interactive Cellular Automata Systems for Creative Projects - Cellular Automata in Image Processing and Geometry - page 256

Fig. 13.6 Details of high-resolution output demonstrating “unrealistic” fluid simulation using
the Fluid Automata system. The left image shows the addition of a high amount of vorticity;
the right image shows the “spikiness” associated with a high amount of energy.

Fig. 13.7 Photo of iPad application using the Fluid Automata system with a live video feed
replacing the background noise texture

parameters. Figure 13.7 shows an image that is created using a live video feed as the
background image, rather than an image populated with randomly-colored pixels.
Figure 13.3 provides an overview of the fluid visualization process over the
course of a single frame. At t i , the system: a) distorts the previous image texture
(if i 0, otherwise it uses a copy of the background texture) based on user inter-

action and the current fluid profile; b) blends the background texture in with the
distorted texture based on a blending parameter (that can be updated in real-time by
a user); and then c) applies image processing filters (based on the image processing
parameters described above) to the image to create a final output texture for this
frame at t i + 1 . This output texture is then used as the input texture for the next frame.

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