Image segmentation using a multilayer level-set approach

DOI10.1007/s00791-008-0113-1zbMath1216.65024OpenAlexW2016787456MaRDI QIDQ600918

Ginmo Chung, Luminita A. Vese

Publication date: 3 November 2010

Published in: Computing and Visualization in Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00791-008-0113-1

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Related Items (18)

APPLICATION OF THE DIGITAL RESOLUTION OF ANISOTROPIC AND NONLINEAR DIFFUSION EQUATION TO IMAGE PROCESSING ⋮ Adaptive active contours without edges ⋮ High-resolution method for evolving complex interface networks ⋮ Variational level set methods for image segmentation based on both \(L^2\) and Sobolev gradients ⋮ Statistical density estimation using threshold dynamics for geometric motion ⋮ Adaptive regularized level set method for weak boundary object segmentation ⋮ Adaptively active contours based on variable exponent \(L^{p(|\nabla I|)}\) norm for image segmentation ⋮ A new fast multiphase image segmentation algorithm based on nonconvex regularizer ⋮ Hemorrhage detection and segmentation in traumatic pelvic injuries ⋮ A variational level set model for multiscale image segmentation ⋮ Multiphase image segmentation using a phase-field model ⋮ Active arcs and contours ⋮ Minimizers for nonlocal perimeters of Minkowski type ⋮ Active contours with free endpoints ⋮ Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration ⋮ Topology-preserving image segmentation by Beltrami representation of shapes ⋮ An anisotropic local method for boundary detection in images ⋮ Multi-Phase Segmentation Using Modified Complex Cahn-Hilliard Equations

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Uniqueness of Lipschitz extensions: Minimizing the sup norm of the gradient
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• Island dynamics and the level set method for epitaxial growth
• Geodesic active regions and level set methods for supervised texture segmentation
• A level set model for image classification
• A multiphase level set framework for image segmentation using the Mumford and Shah model
• A variational level set approach to multiphase motion
• Extension of functions satisfying Lipschitz conditions
• Optimal approximations by piecewise smooth functions and associated variational problems
• A binary level set model and some applications to Mumford-Shah image segmentation
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• An axiomatic approach to image interpolation
• A level set method for thin film epitaxial growth

This page was built for publication: Image segmentation using a multilayer level-set approach