Efficient segmentation based on Eikonal and diffusion equations

DOI10.1080/00207160701324249zbMath1119.92041OpenAlexW2140574866MaRDI QIDQ5308829

Bertrand Peny, Tong Fang, Gozde Unal, Christopher V. Alvino, Greg Slabaugh

Publication date: 8 October 2007

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://openaccess.city.ac.uk/id/eprint/4410/1/eikonalDiffusionIJCM.pdf

zbMATH Keywords

pattern recognitioncomputer visionimage processingvariational methodssegmentationdiscrete heat equation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Miscellaneous topics in partial differential equations (35R99) Machine vision and scene understanding (68T45)

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Cites Work

• Geodesic active contours
• Optimal approximations by piecewise smooth functions and associated variational problems
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• Unnamed Item
• Unnamed Item

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