  This paper proposes a new pattern of two dimensional cellular automata linear
rules that are used for efficient edge detection of an image. Since cellular
automata is inherently parallel in nature, it has produced desired output
within a unit time interval. We have observed four linear rules among 512 total
linear rules of a rectangular cellular automata in adiabatic or reflexive
boundary condition that produces an optimal result. These four rules are
directly applied once to the images and produced edge detected output. We
compare our results with the existing edge detection algorithms and found that
our results shows better edge detection with an enhancement of edges.
