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International Journal of Computer Mathematics Volume 96, 2019 - Issue 8: A special collection of papers relating to computational linear algebra and nonlinear equation solvers
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Original Article

Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models

Michael RobertsCentre for Mathematical Imaging Techniques, Department of Mathematical Sciences, The University of Liverpool, Liverpool, UKView further author information
,
Ke ChenCentre for Mathematical Imaging Techniques, Department of Mathematical Sciences, The University of Liverpool, Liverpool, UKCorrespondence[email protected]
View further author information
&
Klaus L. IrionDepartment of Radiology, Manchester University NHS Foundation Trust, Manchester, UKView further author information
Pages 1623-1647 | Received 24 Mar 2018, Accepted 18 Jun 2018, Published online: 18 Jul 2018

Citations (3)

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Read on this site (1)

Michael Roberts, Ke Chen, Jingzhi Li & Klaus L. Irion. (2020) On an effective multigrid solver for solving a class of variational problems with application to image segmentation. International Journal of Computer Mathematics 97:10, pages 2015-2035.
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Articles from other publishers (2)

Yu Han, Xuyuan Zhang & Chen Xu. (2022) A New Foreground and Background Image Segmentation Method Based on a Convex Shape Prior and a Nonconvex Regularizer. IEEE Access 10, pages 119947-119955.
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Wenxiu Zhao, Weiwei Wang, Xiangchu Feng & Yu Han. (2022) A new variational method for selective segmentation of medical images. Signal Processing 190, pages 108292.
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