Image Segmentation with Adaptive Spatial Priors from Joint Registration

DOI10.1137/21M1444874OpenAlexW4221151293MaRDI QIDQ5043734

Li Cui, Weihong Guo, Jun Liu, Dongxing Xie, Hai-Feng Li

Publication date: 6 October 2022

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

Full work available at URL: https://arxiv.org/abs/2203.15548

zbMATH Keywords

variational methodimage segmentationimage registrationjoint modelGaussian mixture modelintensity inhomogeneityshape priorsthigh muscle segmentation

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Inverse problems for PDEs (35R30)

Uses Software

• GitHub

Cites Work

• Unnamed Item
• Motion of multiple junctions: A level set approach
• Joint image segmentation and registration based on a dynamic level set approach using truncated hierarchical B-splines
• Image segmentation using a local GMM in a variational framework
• The EM Algorithm and Extensions, 2E
• A Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors
• A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis
• Two and Three Dimensional Image Registration Based on B-Spline Composition and Level Sets
• Joint Segmentation and Nonlinear Registration Using Fast Fourier Transform and Total Variation
• Threshold Dynamics for Networks with Arbitrary Surface Tensions
• Convex Analysis

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