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Robust local–global SOM-based ACM

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Abdelsamea, Mohammed M. and Gnecco, G. (2015) Robust local–global SOM-based ACM. Electronics Letters, 51 (2). pp. 142-143. doi:10.1049/el.2014.3691 ISSN 0013-5194.

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Official URL: http://dx.doi.org/10.1049/el.2014.3691

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Abstract

A novel active contour model (ACM) for image segmentation, driven by both local and global image-intensity information encoded by a self-organising map (SOM), is proposed. Experimental results demonstrate the robustness of the proposed model to the contour initialisation and to the additive noise, when compared with the state-of-the-art local and global ACMs. They also demonstrate its robustness to scene changes.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences > Cell & Developmental Biology
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Biomedical Sciences
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
Journal or Publication Title: Electronics Letters
Publisher: Institution of Engineering and Technology
ISSN: 0013-5194
Official Date: 22 January 2015
Dates:
DateEvent
22 January 2015Published
7 January 2015Available
Volume: 51
Number: 2
Page Range: pp. 142-143
DOI: 10.1049/el.2014.3691
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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