A Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors

DOI10.1137/17M1122906zbMath1437.94014OpenAlexW2795823403MaRDI QIDQ4686941

Noémie Debroux, Carole Le Guyader

Publication date: 10 October 2018

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

Full work available at URL: https://doi.org/10.1137/17m1122906

zbMATH Keywords

relaxationnonlinear elasticityintegral operatorssegmentationregistration\(\Gamma\)-convergencepiecewise constant Mumford--Shah modelweighted \(BV\)-space

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

Multiscale registration ⋮ Using the split Bregman algorithm to solve the self-repelling snakes model ⋮ Image Segmentation with Adaptive Spatial Priors from Joint Registration ⋮ A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis ⋮ Two-dimensional diffeomorphic model for multi-modality image registration ⋮ Joint image segmentation and registration based on a dynamic level set approach using truncated hierarchical B-splines

Uses Software

• FAIR.m

Cites Work

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