A convex level-set method with multiplicative-additive model for image segmentation-Reference-Cited by-同舟云学术

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A convex level-set method with multiplicative-additive model for image segmentation

Published:2024-08 Issue: Volume:132 Page:587-606
ISSN:0307-904X
Container-title:Applied Mathematical Modelling
language:en
Short-container-title:Applied Mathematical Modelling

Author:

Li Zhixiang,Tang Shaojie,Sun Tianyu,Yang Fuqiang,Ye Wenguang,Ding Wenyu,Huang Kuidong

Funder

Aero Engine Corporation of China

National Natural Science Foundation of China

Ministry of Industry and Information Technology of the People's Republic of China

Shaanxi Province Department of Science and Technology

Publisher

Elsevier BV

Reference39 articles.

1. RVLSM: robust variational level set method for image segmentation with intensity inhomogeneity and high noise;Zhang;Inf. Sci.,2022

2. A variational level set model for multiscale image segmentation;Zhang;Inf. Sci.,2019

3. RESLS: region and edge synergetic level set framework for image segmentation;Zhang;IEEE Trans. Image Process.,2020

4. Fuzzy region-based active contour driven by global and local fitting energy for image segmentation;Fang;Appl. Soft. Comput.,2021

5. Active contour model based on local absolute difference energy and fractional-order penalty term;Lv;Appl. Math. Model.,2022

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