Two-stage image segmentation based on nonconvex \(\ell_2-\ell_p\) approximation and thresholding
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Publication:2242811
DOI10.1016/j.amc.2021.126168OpenAlexW3138506499MaRDI QIDQ2242811
Jinbo Shao, Xiaoyu Gu, Tingting Wu, Tieyong Zeng, Michael Kwok-Po Ng
Publication date: 10 November 2021
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2021.126168
Parametric inference (62Fxx) Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Communication, information (94Axx) Computing methodologies and applications (68Uxx)
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Two-Phase Image Segmentation by Nonconvex Nonsmooth Models with Convergent Alternating Minimization Algorithms ⋮ Image Segmentation via Fischer-Burmeister Total Variation and Thresholding ⋮ An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multiphase Image Segmentation ⋮ Image denoising via a new hybrid TGV model based on Shannon interpolation ⋮ Multi-Phase Segmentation Using Modified Complex Cahn-Hilliard Equations ⋮ Two-Phase Segmentation for Intensity Inhomogeneous Images by the Allen--Cahn Local Binary Fitting Model
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