An adaptive finite element procedure for the image segmentation problem

DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1099-0887(199807)14:7<621::AID-CNM174>3.0.CO;2-U" /><621::AID-CNM174>3.0.CO;2-U 10.1002/(SICI)1099-0887(199807)14:7<621::AID-CNM174>3.0.CO;2-UzbMath0906.68203OpenAlexW1965526094MaRDI QIDQ4213716

Dan Givoli, Fiana S. Yaacobson

Publication date: 8 December 1998

Full work available at URL: https://doi.org/10.1002/(sici)1099-0887(199807)14:7<621::aid-cnm174>3.0.co;2-u

zbMATH Keywords

computer visionimage segmentation problem

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (4)

Anisotropic mesh adaptation for region-based segmentation accounting for image spatial information ⋮ Mesh adaptation-aided image segmentation ⋮ Error estimates and adaptive finite element methods ⋮ On the segmentation of vascular geometries from medical images

Cites Work

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• Numerical study of a relaxed variational problem from optimal design
• Existence theorem for a minimum problem with free discontinuity set
• Optimal approximations by piecewise smooth functions and associated variational problems
• Approximation of functional depending on jumps by elliptic functional via t-convergence
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Isoparametric quadrilaterals and hexahedrons for mesh-grading algorithms
• Image Segmentation by Variational Methods: Mumford and Shah Functional and the Discrete Approximations

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