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SCIA
2005
Springer

Training Cellular Automata for Image Processing

13 years 9 months ago
Training Cellular Automata for Image Processing
Experiments were carried out to investigate the possibility of training cellular automata to to perform processing. Currently, only binary images are considered, but the space of rule sets is still very large. Various objective functions were considered, and sequential floating forward search used to select good rule sets for a range of tasks, namely: noise filtering, thinning, and convex hulls. Several modifications to the standard CA formulation were made (the B-rule and 2-cycle CAs) which were found to improve performance.
Paul L. Rosin
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where SCIA
Authors Paul L. Rosin
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