New variational formulations for level set evolution without reinitialization with applications to image segmentation
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Publication:1932884
DOI10.1007/s10851-011-0269-zzbMath1255.68252OpenAlexW2022983148MaRDI QIDQ1932884
Fangfang Dong, Chunxiao Liu, Shengfeng Zhu, De-Xing Kong, Ke Feng Liu
Publication date: 22 January 2013
Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10851-011-0269-z
level set methodaugmented Lagrangian methodreinitializationChan-Vese modelprojection Lagrangian methodadditive operator splitting
Related Items (7)
A level set method for shape optimization in semilinear elliptic problems ⋮ Image segmentation with depth information via simplified variational level set formulation ⋮ Effective shape optimization of Laplace eigenvalue problems using domain expressions of Eulerian derivatives ⋮ Convergence analysis of mixed finite element approximations to shape gradients in the Stokes equation ⋮ Stabilized finite element methods for solving the level set equation without reinitialization ⋮ Spatially constrained Student's \(t\)-distribution based mixture model for robust image segmentation ⋮ Fast global minimization of the Chan-Vese model for image segmentation problem
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