Dual active contour models for segmentation: survey on level set and variational formulations

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dc.contributor.authorSANTOS, I. M. F.
dc.contributor.authorMIRANDA JUNIOR, G. F.
dc.contributor.authorRODRIGUES, Paulo.
dc.contributor.authorGIRALDI, G. A
dc.date.accessioned2019-08-17T20:00:28Z
dc.date.available2019-08-17T20:00:28Z
dc.date.issued2018
dc.description.abstractalternativeDual snake models are powerful techniques for boundary extraction and segmentation of medical and biological images. In these methods the key idea is: one contour contracts from outside the target and another one expands from inside as a balanced technique with the ability to reject local minima. Such approach was originally proposed in the context of parametric snakes. More recently, it was re-worked through implicit formulation where the deformable contours are zero level sets of embedding functions. In this paper we review implicit dual active contours for medical image segmentation. We start with variational formulations of dual models, aiming to set the background to derive the evolution scheme through the Euler-Lagrange equations, and to clarify the global optimization capabilities of dual techniques. Then, we summarize numerical aspects regarding finite difference approaches, initial and boundary conditions for dual techniques. Following, we review variational implicit models which are very influenced by the Chan-Vese Active contour model. Next, non-variational approaches are described, where the governing equations are not explicit derived from Euler-Lagrange expressions. We survey applications for shape recovery in transmission electron microscopy, computed tomographic (CT), and magnetic resonance imaging (MRI) modalities. We offer a discussion about important points that have emerged from this review and point out drawbacks of dual approaches. Besides, we present promising perspectives of dual active contour models and related topics for image segmentation.en
dc.description.firstpage1
dc.description.issuenumber8
dc.description.lastpage37
dc.description.volume4
dc.identifier.citationSANTOS, I. M. F.; MIRANDA JUNIOR, G. F.; RODRIGUES, Paulo; GIRALDI, G. A. Dual active contour models for segmentation: survey on level set and variational formulationss. Internal Medicine Review, v. 4, n. 8, p. 1-37, 2018.
dc.identifier.issn2470-3532
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/986
dc.identifier.urlhttp://dx.doi.org/10.18103/imr.v4i9.748
dc.relation.ispartofInternal Medicine Review
dc.rightsAcesso Aberto
dc.subject.otherlanguageActive Contour Modelsen
dc.subject.otherlanguageLevel Seten
dc.subject.otherlanguageSegmentationen
dc.subject.otherlanguageVariational Methodsen
dc.titleDual active contour models for segmentation: survey on level set and variational formulationspt_BR
dc.typeArtigopt_BR
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