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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
Version:
Accepted Manuscript

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Publisher copy:
10.1109/SYNASC.2016.040

Authors


Andreica, A More by this author
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Department:
Oxford, MPLS, Computer Science
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Grant:
CNCS - UEFISCDI, project number PN-II-RU-TE-2014-4- 1130
Publisher:
IEEE Computer Society Publisher's website
Pages:
199-205
Publication date:
2016-09-27
Acceptance date:
2016-07-27
DOI:
ISSN:
2470-881X
Pubs id:
pubs:637263
URN:
uri:eeb4f5ef-7a25-46f2-828c-cbb951627c8a
UUID:
eeb4f5ef-7a25-46f2-828c-cbb951627c8a
Local pid:
pubs:637263
ISBN:
978-1-5090-5707-8

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