Pattern Generation of digital Images using Two Dimensional Cellular Automata, Nine Neighborhood Model

Creating algorithmic approach for generating patterns of digital images is important and difficult task. Researchers face with many challenges in developing tiling algorithms such as providing simple and applicable algorithm to describe complex patterns. This paper used cellular automata with nine neighbourhood model to generate patterns of digital images. The proposed approach leads to accurate and scalable algorithm for generating patterns of digital images. The results of implemented algorithms demonstrate our approach with a variety of patterns.