Fast surface segmentation guided by user input using implicit extension of minimal paths

DOI10.1007/S10851-006-9641-9zbMath1478.68393OpenAlexW1968761488MaRDI QIDQ851853

N. E. Zubov

Publication date: 22 November 2006

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://basepub.dauphine.fr/handle/123456789/13816

zbMATH Keywords

minimal pathslevel-set methodimage segmentationactive contoursstationary transport equationobject extraction

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45) PDEs in connection with computer science (35Q68)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Lax-Friedrichs sweeping scheme for static Hamilton-Jacobi equations
• Transport equation and Cauchy problem for BV vector fields
• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• The fast construction of extension velocities in level set methods
• Geodesic active contours
• Hamilton-Jacobi equations and distance functions on Riemannian manifolds
• On active contour models and balloons
• Efficient algorithms for globally optimal trajectories
• High-Resolution Conservative Algorithms for Advection in Incompressible Flow
• A fast marching level set method for monotonically advancing fronts.
• Difference schemes for hyperbolic equations with high order of accuracy
• Multiple contour finding and perceptual grouping using minimal paths

This page was built for publication: Fast surface segmentation guided by user input using implicit extension of minimal paths