Global and local fuzzy energy-based active contours for image segmentation

DOI10.1007/s11071-011-0088-1zbMath1256.94014OpenAlexW2072856308MaRDI QIDQ437315

Kuo-Kai Shyu, Thi-Thao Tran, Po-Lei Lee, Van-Truong Pham

Publication date: 17 July 2012

Published in: Nonlinear Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11071-011-0088-1

zbMATH Keywords

level set methodimage segmentationactive contourcurve evolutionfuzzy energyglobal and local minimization

Mathematics Subject Classification ID

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

Related Items (5)

A systematic review on the advancement in the study of fuzzy variational problems ⋮ Fuzzy distribution fitting energy-based active contours for image segmentation ⋮ Brain MR image segmentation based on an adaptive combination of global and local fuzzy energy ⋮ Change detection in synthetic aperture radar images based on fuzzy active contour models and genetic algorithms ⋮ Region-edge-based active contours driven by hybrid and local fuzzy region-based energy for image segmentation

Cites Work

• Constraints on deformable models: Recovering 3D shape and nonrigid motion
• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A geometric model for active contours in image processing
• Geodesic active contours
• An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
• Active contours without edges
• Minimization of Region-Scalable Fitting Energy for Image Segmentation
• Localizing Region-Based Active Contours
• Fuzzy Energy-Based Active Contours

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