Variational Fuzzy Mumford–Shah Model for Image Segmentation

DOI10.1137/090753887zbMath1213.94017OpenAlexW2041909507MaRDI QIDQ5392335

Chunming Li, Fang Li, Michael Kwok-Po Ng

Publication date: 8 April 2011

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/090753887

zbMATH Keywords

total variationoperator splittingimage segmentationMumford-Shah modelfuzzy membership functions

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

A general framework of piecewise-polynomial Mumford–Shah model for image segmentation ⋮ Image segmentation based on the hybrid bias field correction ⋮ A local information based variational model for selective image segmentation ⋮ A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information ⋮ Non-Convex and Convex Coupling Image Segmentation via TGpV Regularization and Thresholding ⋮ Piecewise-smooth image segmentation models with \(L^1\) data-fidelity terms

Uses Software

• Matlab

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