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Two-stage image segmentation based on nonconvex ℓ2−ℓp approximation and thresholding

Author

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  • Wu, Tingting
  • Shao, Jinbo
  • Gu, Xiaoyu
  • Ng, Michael K.
  • Zeng, Tieyong

Abstract

Image segmentation is of great importance in image processing. In this paper, we propose a two-stage image segmentation strategy based on the nonconvex ℓ2−ℓp approximation of the Mumford–Shah (MS) model, where we use the nonconvex ℓp (0

Suggested Citation

  • Wu, Tingting & Shao, Jinbo & Gu, Xiaoyu & Ng, Michael K. & Zeng, Tieyong, 2021. "Two-stage image segmentation based on nonconvex ℓ2−ℓp approximation and thresholding," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    • Handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s0096300321002587
    DOI: 10.1016/j.amc.2021.126168
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    References listed on IDEAS

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    1. Eltanboly, Ahmed & Ghazal, Mohammed & Hajjdiab, Hassan & Shalaby, Ahmed & Switala, Andy & Mahmoud, Ali & Sahoo, Prasanna & El-Azab, Magdi & El-Baz, Ayman, 2019. "Level sets-based image segmentation approach using statistical shape priors," Applied Mathematics and Computation, Elsevier, vol. 340(C), pages 164-179.
    2. Shi, Baoli & Pang, Zhi-Feng & Wu, Jun, 2015. "Alternating split Bregman method for the bilaterally constrained image deblurring problem," Applied Mathematics and Computation, Elsevier, vol. 250(C), pages 402-414.
    3. Hanming Zhang & Linyuan Wang & Bin Yan & Lei Li & Ailong Cai & Guoen Hu, 2016. "Constrained Total Generalized p-Variation Minimization for Few-View X-Ray Computed Tomography Image Reconstruction," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-28, February.
    4. Shang, Kun & Huang, Zheng-Hai & Liu, Wanquan & Li, Zhi-Ming, 2018. "A single gallery-based face recognition using extended joint sparse representation," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 99-115.
    5. Wu, Tingting & Han, Deren & Xu, Yi, 2015. "Cross-Hill: A heuristic method for global optimization," Applied Mathematics and Computation, Elsevier, vol. 266(C), pages 959-967.
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