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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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
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: | 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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