This paper describes the application of cellular automata (CA) to various image processing
tasks such as denoising and feature detection. Whereas our previous work mainly dealt with …

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 …

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 …

In the present article, an algorithm based on cellular automata for noise elimination and
edge detection in grayscale images is proposed. However, the focus of this project will be on …

A parallel Simulated Annealing algorithm with multi-threaded architecture is proposed to
solve a real bi-objective maintenance scheduling problem with conflicting objectives: the …

Edge detection of images is one of the basic and most significant operations in image
processing and is used for object background separation, 3-D interpretation of a 2-D image …

A number of Cellular Automata (CA)-based edge detectors have been developed recently
due to the simplicity of the model and the potential for simultaneous removal of different …

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 …

In digital image processing, edge detection of images is an important and difficult task. Also,
if the images are corrupted by noise, it smears some details and thus resulting in inaccurate …

A new design method for Cellular automata (CA) rules are described. We have already
proposed a method for designing the transition rules of two-dimensional 256-state CA for …