Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1984 Springer Science+Business Media New York
About this chapter
Cite this chapter
Preston, K., Duff, M.J.B. (1984). Scientific Applications. In: Modern Cellular Automata. Advanced Applications in Pattern Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0393-8_8
Download citation
DOI: https://doi.org/10.1007/978-1-4899-0393-8_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-0395-2
Online ISBN: 978-1-4899-0393-8
eBook Packages: Springer Book Archive