Title: Utilising improved cellular automata to simulate and analyse image evolution and optimisation

Authors: Wenyong Dong; Xueshi Dong

Addresses: Computer School, Wuhan University, Wuhan, Hubei, China ' Computer School, Wuhan University, Wuhan, Hubei, China

Abstract: This paper introduces the cellular automata, current research of the field and so on, comprehensively uses principal component analysis, decision tree and neural network methods to improve cellular automata model and makes simulation and analysis of the spatial evolution of experiment image by using the improved models, then from optimisation strategy and other aspects it gives some improvement discussion and optimisation methods.

Keywords: cellular automata; simulation; image evolution; optimisation; image analysis; principal component analysis; PCA; decision tree; neural networks; spatial evolution.

DOI: 10.1504/IJCSM.2015.069463

International Journal of Computing Science and Mathematics, 2015 Vol.6 No.2, pp.166 - 177

Received: 13 Aug 2014
Accepted: 28 Aug 2014

Published online: 17 May 2015 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article