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Robust local–global SOM-based ACM

Robust local–global SOM-based ACM

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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.

References

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      • 3. Abdelsamea, M.M., Gnecco, G., Gaber, M.M.: ‘A concurrent SOM-based Chan-Vese model for image segmentation’. Proc. 10th Workshop on Self-Organizing Maps (WSOM 2014), Advances in Intelligent Systems and Computing, Mittweida, Germany, July 2014, vol. 295, pp. 199208.
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      • 5. Abdelsamea, M.M., Gnecco, G., Gaber, M.M.: ‘A survey of SOM-based active contours for image segmentation’. Proc. 10th Workshop on Self-Organizing Maps (WSOM 2014), Advances in Intelligent Systems and Computing, Mittweida, Germany, July 2014, vol. 295, pp. 293302.
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