The TV p Regularized Mumford-Shah Model for Image Labeling and Segmentation

DOI10.1109/TIP.2020.2997524OpenAlexW3033890399MaRDI QIDQ5105700

Yuping Duan, Chunlin Wu, Yu-tong Li

Publication date: 16 September 2022

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2020.2997524

Mathematics Subject Classification ID

Information and communication theory, circuits (94-XX)

Related Items (5)

Two-Phase Image Segmentation by Nonconvex Nonsmooth Models with Convergent Alternating Minimization Algorithms ⋮ Image Segmentation via Fischer-Burmeister Total Variation and Thresholding ⋮ A convergent iterative support shrinking algorithm for non-Lipschitz multi-phase image labeling model ⋮ On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance ⋮ Effective two-stage image segmentation: a new non-Lipschitz decomposition approach with convergent algorithm

This page was built for publication: The TV _p Regularized Mumford-Shah Model for Image Labeling and Segmentation