A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis

[Display omitted] •Metaheuristics (MHs) are general-purpose stochastic optimization methods.•A Deformable Model (DM) tries to maximize its overlap with the object to segment.•This survey is the first review about the hybridization of DMs and MHs.•We provide guidelines to choose/design your hybrid se...

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Veröffentlicht in:	Applied soft computing Jg. 44; S. 1 - 29
Hauptverfasser:	Mesejo, Pablo, Ibáñez, Óscar, Cordón, Óscar, Cagnoni, Stefano
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2016 Elsevier
Schlagworte:	Artificial Intelligence Computer Science Computer Vision and Pattern Recognition Deformable models Global continuous optimization Image Processing Image segmentation Medical Imaging Metaheuristics Signal and Image Processing Stochastic optimization Deformable models Image segmentation Global continuous optimization Stochastic optimization Metaheuristics Active Shape Models Global Continuous Optimization Topological Active Nets Scatter Search Level Set method Image Segmentation Differential Evolution Stochastic Optimization Deformable Models Genetic Algorithms Particle Swarm Optimization
ISSN:	1568-4946, 1872-9681
Online-Zugang:	Volltext
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