Items where Author is "Abdelsamea, Mohammed"

2015

Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (Part B). 820 - 835. ISSN 0925-2312 (2015)

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

Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat and Elyan, Eyad On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015 (109029). ISSN 1687-5265 (2015)

Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. A Fusion of Foundations, Methodologies and Applications. pp. 1-21. ISSN 1432-7643 (In Press) (2015)

2014

Minervini, Massimo and Abdelsamea, Mohammed and Tsaftaris, Sotirios A. Image based plant phenotyping with incremental learning and active contours. Ecological Informatics, 23. pp. 35-48. ISSN 1574-9541 (2014)

Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing, 295 . Springer, pp. 199-208. ISBN 978-3-319-07694-2 (2014)

Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Survey of SOM-Based Active Contour Models for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing (295). Springer, pp. 293-302. ISBN 978-3-319-07695-9 (2014)

2013

Abdelsamea, Mohammed and Tsaftaris, Sotirios A. Active Contour Model driven by Globally Signed Region Pressure Force. In: 18th International Conference On Digital Signal Processing, 1-3 July 2013, Santorini, Greece (Submitted) (2013)

Abdelsamea, Mohammed and Tsaftaris, Sotirios A. Active contour model driven by Globally Signed Region Pressure Force. In: 18th International Conference on Digital Signal Processing (DSP), 2013. IEEE, pp. 1-6. (2013)