Noisy image segmentation based on wavelet transform and active contour model

DOI10.1080/00036811003717939zbMath1250.94012OpenAlexW1973374397WikidataQ58272156 ScholiaQ58272156MaRDI QIDQ5199482

Wen-Sheng Chen, Bo Chen

Publication date: 16 August 2011

Published in: Applicable Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00036811003717939

zbMATH Keywords

level setactive contour modelcurve evolutionlocally one-dimensionalvariation calculus techniquewavelet transform, noisy image segmentation

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (6)

A novel adaptive partial differential equation model for image segmentation ⋮ Speckle noise removal by energy models with new regularization setting ⋮ A novel Speckle noise removal algorithm based on ADMM and energy minimization method ⋮ A multiplicative noise removal approach based on partial differential equation model ⋮ A new texture synthesis algorithm based on wavelet packet tree ⋮ Image denoising based on dilated singularity prior

Cites Work

• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• Geodesic active contours
• Optimal approximations by piecewise smooth functions and associated variational problems
• Active contours without edges

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