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Avenues for the use of cellular automata in image segmentation

Abstract:

The majority of Cellular Automata (CA) described in the literature are binary or three-state. While several abstractions are possible to generalise to more than three states, only a negligible number of multi–state CA rules exist with concrete practical applications.


This paper proposes a generic rule for multi–state CA. The rule allows for any number of states, and allows for the states are semantically related. The rule is illustrated on the concrete example of image segment...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
Springer Publisher's website
Journal:
20th European Conference on the Applications of Evolutionary Computation Journal website
Host title:
EvoStar: 20th European Conference on the Applications of Evolutionary Computation
Publication date:
2017-03-01
Acceptance date:
2017-01-11
DOI:
Source identifiers:
673072
Pubs id:
pubs:673072
UUID:
uuid:0b7e6872-f109-484b-a142-cb55204b3e5c
Local pid:
pubs:673072
Deposit date:
2017-01-25

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