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Robust local–global SOM-based ACM

Abdelsamea, Mohammed and Gnecco, Giorgio Robust local–global SOM-based ACM. Electronics Letters, 51 (2). pp. 142-143. ISSN 0013-5194 (2015)

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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: Article
Identification Number: https://doi.org/10.1049/el.2014.3691
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 23 Feb 2015 11:11
Last Modified: 23 Feb 2015 11:11
URI: http://eprints.imtlucca.it/id/eprint/2621

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