This chapter describes applications of cellular automata to data which do not necessarily represent optical images, even though images can be used to represent the data, e.g., an electrostatic field. The array should therefore be regarded not as part of a vision system but rather as a computation and visualizing system. It will be shown that this approach to computation stimulates the conception of unusual computational algorithms which are not only capable of efficient implementation by the cellular automaton but also, in some cases, more efficient than when implemented on conventional serial machines.
KeywordsCellular Automaton Scientific Application Minimum Path Electric Field Potential Minimum Fuel Consumption
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