Joint Segmentation/Registration Model by Shape Alignment via Weighted Total Variation Minimization and Nonlinear Elasticity

DOI10.1137/140990620zbMath1343.68275OpenAlexW4300029058MaRDI QIDQ3454479

Solène Ozeré, Christian Gout, Carole Le Guyader

Publication date: 25 November 2015

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/140990620

zbMATH Keywords

nonlinear elasticityrelaxed problemquasi-convexity\(\Gamma\)-convergenceimage registrationweighted total variationSaint Venant-Kirchhoff material

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Nonlinear elasticity (74B20) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Methods involving semicontinuity and convergence; relaxation (49J45)

Related Items (6)

Multiscale registration ⋮ A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis ⋮ A non-local topology-preserving segmentation-guided registration model ⋮ Nonlocal Joint Segmentation Registration Model ⋮ Fluid image registration using a finite volume scheme of the incompressible Navier Stokes equation ⋮ A Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors

Uses Software

• LDDMM
• FAIR.m

Cites Work

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