Emergence is the process of deriving some new and coherent structures, patterns and
properties in a complex system. Emergent phenomena occur due to interactions (non-linear …

We use an evolutionary process to seek a specialized powerful rule of Cellular Automata
(CA) among a set of best rules for extracting edges in a given black-white image. This best …

Cellular Automata can be successfully applied in image processing. In this paper, we
propose a new edge detection algorithm, based on cellular automata to extract edges of …

This paper presents an alternative method for edge detection based on a Cellular Automata
(CA) algorithm. The main task with such an algorithm is to find a suitable CA rule out of the …

Image segmentation is still one of nowadays problems in image processing, in which there
is no ideal or optimal solution due to the large variety of images, their characteristics, and the …

Cellular automata can be significantly applied in image processing tasks. In this paper, a
novel method to train two dimensional cellular automata for detection of edges in digital …

In this paper we discuss the application of two-dimensional linear cellular automata rules to
the problems of edge detection in monochromatic images. We proposed an efficient and …

Cellular automata are discrete dynamical systems whose function is completely specified in
terms of local relation. Guided by a suitable recipe, they can simulate a whole hierarchy of …

Edge detection has been a long standing topic in image processing, generating hundreds of
papers and algorithms over the last 50 years. Likewise, the topic has had a fascination for …

Edge detection is one of the most commonly used operations in image analysis. Several
edge detectors have been proposed in literature for enhancing and detecting of edges. In …