  Cellular Automata (CA) are common and most simple models of parallel
computations. Edge detection is one of the crucial task in image processing,
especially in processing biological and medical images. CA can be successfully
applied in image processing. This paper presents a new method for edge
detection of binary images based on two dimensional twenty five neighborhood
cellular automata. The method considers only linear rules of CA for extraction
of edges under null boundary condition. The performance of this approach is
compared with some existing edge detection techniques. This comparison shows
that the proposed method to be very promising for edge detection of binary
images. All the algorithms and results used in this paper are prepared in
MATLAB.
