Joint image segmentation and registration based on a dynamic level set approach using truncated hierarchical B-splines
DOI10.1016/j.camwa.2019.04.026zbMath1443.65024OpenAlexW2945445966WikidataQ127891751 ScholiaQ127891751MaRDI QIDQ2203651
Yongjie Jessica Zhang, Aishwarya Pawar, Cosmin Anitescu, Timon Rabczuk
Publication date: 7 October 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2019.04.026
adaptive refinementtruncated hierarchical B-splinesdynamic schemejoint image segmentation and registrationlevel set framework
Numerical computation using splines (65D07) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)
Related Items (3)
Uses Software
Cites Work
- THB-splines: The truncated basis for hierarchical splines
- Adaptive FEM-based nonrigid image registration using truncated hierarchical B-splines
- Image-based goal-oriented adaptive isogeometric analysis with application to the micro-mechanical modeling of trabecular bone
- A novel dynamic multilevel technique for image registration
- Some properties of LR-splines
- Medical image interpolation based on multi-resolution registration
- A general framework of piecewise-polynomial Mumford–Shah model for image segmentation
- Active contours without edges
- A Joint Segmentation/Registration Model Based on a Nonlocal Characterization of Weighted Total Variation and Nonlocal Shape Descriptors
- Two and Three Dimensional Image Registration Based on B-Spline Composition and Level Sets
- DTHB3D_Reg: Dynamic Truncated Hierarchical B-Spline Based 3D Nonrigid Image Registration
- A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI
This page was built for publication: Joint image segmentation and registration based on a dynamic level set approach using truncated hierarchical B-splines
