A Survey of SOM-Based Active Contour Models for Image Segmentation

Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber

doi:10.1007/978-3-319-07695-9_28

A Survey of SOM-Based Active Contour Models for Image Segmentation

Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Original language	English
Title of host publication	Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014
Publisher	Springer Verlag
Pages	293-302
Number of pages	10
ISBN (Print)	9783319076942
DOIs	https://doi.org/10.1007/978-3-319-07695-9_28
Publication status	Published (VoR) - 2014

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	295
ISSN (Print)	2194-5357

Keywords

Image segmentation
SOM-based ACMs
Self Organizing Maps
active contours
neural networks
topology preservation

Access to Document

10.1007/978-3-319-07695-9_28

Cite this

Abdelsamea, M. M., Gnecco, G., & Gaber, M. M. (2014). A Survey of SOM-Based Active Contour Models for Image Segmentation. In Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014 (pp. 293-302). (Advances in Intelligent Systems and Computing; Vol. 295). Springer Verlag. https://doi.org/10.1007/978-3-319-07695-9_28

@inproceedings{2f1465ae57ae4b38ab46d3fec08f471e,

title = "A Survey of SOM-Based Active Contour Models for Image Segmentation",

keywords = "Image segmentation, SOM-based ACMs, Self Organizing Maps, active contours, neural networks, topology preservation",

author = "Abdelsamea, {Mohammed M.} and Giorgio Gnecco and Gaber, {Mohamed Medhat}",

year = "2014",

doi = "10.1007/978-3-319-07695-9_28",

language = "English",

isbn = "9783319076942",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "293--302",

booktitle = "Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014",

}

Abdelsamea, MM, Gnecco, G & Gaber, MM 2014, A Survey of SOM-Based Active Contour Models for Image Segmentation. in Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014. Advances in Intelligent Systems and Computing, vol. 295, Springer Verlag, pp. 293-302. https://doi.org/10.1007/978-3-319-07695-9_28

A Survey of SOM-Based Active Contour Models for Image Segmentation. / Abdelsamea, Mohammed M.; Gnecco, Giorgio; Gaber, Mohamed Medhat.
Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014. Springer Verlag, 2014. p. 293-302 (Advances in Intelligent Systems and Computing; Vol. 295).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Survey of SOM-Based Active Contour Models for Image Segmentation

AU - Abdelsamea, Mohammed M.

AU - Gnecco, Giorgio

AU - Gaber, Mohamed Medhat

PY - 2014

Y1 - 2014

KW - Image segmentation

KW - SOM-based ACMs

KW - Self Organizing Maps

KW - active contours

KW - neural networks

KW - topology preservation

UR - http://www.scopus.com/inward/record.url?scp=84903532109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903532109&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07695-9_28

DO - 10.1007/978-3-319-07695-9_28

M3 - Conference contribution

AN - SCOPUS:84903532109

SN - 9783319076942

T3 - Advances in Intelligent Systems and Computing

SP - 293

EP - 302

BT - Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014

PB - Springer Verlag

ER -

A Survey of SOM-Based Active Contour Models for Image Segmentation

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this