Level sets-based image segmentation approach using statistical shape priors

DOI10.1016/J.AMC.2018.05.064zbMath1428.94022OpenAlexW2889953866MaRDI QIDQ2007670

Andy Switala, Ayman El-Baz, Magdi El-Azab, Mohammed Ghazal, Ahmed Eltanboly, Hassan Hajjdiab, Prasanna K. Sahoo, Ali Mahmoud, Ahmed Shalaby

Publication date: 22 November 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2018.05.064

zbMATH Keywords

probability density function (PDF)shape priorexpectation-maximization (EM)linear combination of Gaussians (LCG)

Mathematics Subject Classification ID

Point estimation (62F10) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Two-stage image segmentation based on nonconvex \(\ell_2-\ell_p\) approximation and thresholding

Cites Work

• On the convergence properties of the EM algorithm
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A Fast algorithm for active contours and curvature estimation
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