A new variational model for segmenting objects of interest from color images

DOI10.1155/2010/950405zbMath1189.94026OpenAlexW2006257523WikidataQ58653436 ScholiaQ58653436MaRDI QIDQ980669

Jiebao Sun, Yanli Zhai, Dazhi Zhang, Boying Wu

Publication date: 29 June 2010

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/232345

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Unnamed Item
• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Geodesic active contours
• An algorithm for total variation minimization and applications
• Geodesic active regions and level set methods for supervised texture segmentation
• A multiphase level set framework for image segmentation using the Mumford and Shah model
• A new diffusion-based variational model for image denoising and segmentation
• Color image segmentation for objects of interest with modified geodesic active contour method
• Structure-texture image decomposition -- modeling, algorithms, and parameter selection
• Dual norms and image decomposition models
• Optimal approximations by piecewise smooth functions and associated variational problems
• Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
• A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• Minimization of Region-Scalable Fitting Energy for Image Segmentation

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