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Parameterized cellular automata in image segmentation

Abstract:
An original update rule for multi–state cellular automata is investigated in the context of grayscale image segmentation in this paper. The update rule is parameterized and takes into account the features of neighbouring cells compared to the features of the current cell. We apply the resulting cellular automata for segmenting several real–world images. In this process we study afterwards the influence of the rule parameters and cellular automata neighbourhood scheme by means of different evaluation measures.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/SYNASC.2016.040

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Grant:
CNCS - UEFISCDI, project number PN-II-RU-TE-2014-4- 1130
Publisher:
IEEE Publisher's website
Pages:
199-205
Host title:
18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Publication date:
2016-09-27
Acceptance date:
2016-07-27
DOI:
ISSN:
2470-881X
Source identifiers:
637263
ISBN:
9781509057078
Pubs id:
pubs:637263
UUID:
uuid:eeb4f5ef-7a25-46f2-828c-cbb951627c8a
Local pid:
pubs:637263
Deposit date:
2016-10-12

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