An efficient Self-Organizing Active Contour model for image segmentation

Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber

doi:10.1016/j.neucom.2014.07.052

An efficient Self-Organizing Active Contour model for image segmentation

Mohammed M. Abdelsamea, Giorgio Gnecco^*, Mohamed Medhat Gaber

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

54 Citations (SciVal)

Original language	English
Pages (from-to)	820-835
Number of pages	16
Journal	Neurocomputing
Volume	149
Issue number	PB
DOIs	https://doi.org/10.1016/j.neucom.2014.07.052
Publication status	Published (VoR) - 3 Feb 2015

Keywords

Active contours
Region-based prior knowledge
Region-based segmentation
Self-organizing neurons
Variational level set method

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10.1016/j.neucom.2014.07.052

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title = "An efficient Self-Organizing Active Contour model for image segmentation",

keywords = "Active contours, Region-based prior knowledge, Region-based segmentation, Self-organizing neurons, Variational level set method",

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

note = "Publisher Copyright: {\textcopyright} 2014 Elsevier B.V.",

year = "2015",

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T1 - An efficient Self-Organizing Active Contour model for image segmentation

AU - Abdelsamea, Mohammed M.

AU - Gnecco, Giorgio

AU - Gaber, Mohamed Medhat

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KW - Region-based prior knowledge

KW - Region-based segmentation

KW - Self-organizing neurons

KW - Variational level set method

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M3 - Article

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VL - 149

SP - 820

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JO - Neurocomputing

JF - Neurocomputing

IS - PB

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An efficient Self-Organizing Active Contour model for image segmentation

Keywords

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