eprintid: 2621
rev_number: 5
eprint_status: archive
userid: 6
dir: disk0/00/00/26/21
datestamp: 2015-02-23 11:11:28
lastmod: 2015-02-23 11:11:28
status_changed: 2015-02-23 11:11:28
type: article
metadata_visibility: show
creators_name: Abdelsamea, Mohammed
creators_name: Gnecco, Giorgio
creators_id: mohammed.abdelsamea@imtlucca.it
creators_id: giorgio.gnecco@imtlucca.it
title: Robust local–global SOM-based ACM
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
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.
date: 2015-01
date_type: published
publication: Electronics Letters
volume: 51
number: 2
publisher: IEEE
pagerange: 142-143
id_number: 10.1049/el.2014.3691
refereed: TRUE
issn: 0013-5194
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7014469&isnumber=7014433
citation:   Abdelsamea, Mohammed and Gnecco, Giorgio  Robust local–global SOM-based ACM.  Electronics Letters, 51 (2).  pp. 142-143.  ISSN 0013-5194      (2015)