Image segmentation by level set evolution with region consistency constraint

DOI10.1007/s11766-017-3534-0zbMath1399.68306OpenAlexW2772364020MaRDI QIDQ1650706

Xiaofeng Zhang, Yuanfeng Zhou, Li Zhong, Qiang Guo, Caiming Zhang

Publication date: 18 July 2018

Published in: Applied Mathematics. Series B (English Edition) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11766-017-3534-0

zbMATH Keywords

image segmentationlevel-set evolutionmultiple level contoursregion consistency constraintuniformity testing

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
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• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A geometric model for active contours in image processing
• Geodesic active contours
• A multiphase level set framework for image segmentation using the Mumford and Shah model
• Level set methods and dynamic implicit surfaces
• A variational level set approach to multiphase motion
• Fuzzy identification of systems and its applications to modeling and control
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• Improving Level Set Method for Fast Auroral Oval Segmentation
• Minimization of Region-Scalable Fitting Energy for Image Segmentation
• Texture Classification Using Refined Histogram
• A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI

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