The Lee-Seo model with regularization term for bimodal image segmentation

DOI10.1016/j.matcom.2011.04.005zbMath1236.94025OpenAlexW1999446110MaRDI QIDQ654352

Meng Li, Qiao Xin, Chun-Lai Mu

Publication date: 28 December 2011

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2011.04.005

zbMATH Keywords

calculus of variationsimage segmentationactive contour modelBV spaceCV modelLee-Seo model

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

Multiplicative noise removal combining a total variation regularizer and a nonconvex regularizer ⋮ Adaptive regularized level set method for weak boundary object segmentation ⋮ Nonlocal variational model for saliency detection

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• Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
• Active contours without edges
• Computing Optical Flow via Variational Techniques
• A study in the BV space of a denoising-deblurring variational problem

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