- 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
- Files:
-
-
(pdf, 595.7kb)
-
- Publisher copy:
- 10.1109/SYNASC.2016.040
-
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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
- Copyright holder:
- IEEE
- Copyright date:
- 2016
- Notes:
-
Copyright © 2016 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: 10.1109/SYNASC.2016.040
Conference item
Parameterized cellular automata in image segmentation
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