Pages that link to "Item:Q1859697"

The following pages link to A multiphase level set framework for image segmentation using the Mumford and Shah model (Q1859697):

Displaying 50 items.

• Image segmentation using the Cahn-Hilliard equation (Q2311998) (← links)
• Level set formulation based on edge and region information with application to accurate lesion segmentation of brain magnetic resonance images (Q2317855) (← links)
• Chan-Vese reformulation for selective image segmentation (Q2331092) (← links)
• Unsupervised texture segmentation using active contour model and oscillating information (Q2336594) (← links)
• Efficient global minimization methods for image segmentation models with four regions (Q2353417) (← links)
• Redistancing dynamics for vector-valued multilabel segmentation with costly fidelity: grain identification in polycrystal images (Q2355580) (← links)
• Piecewise-smooth image segmentation models with \(L^1\) data-fidelity terms (Q2356611) (← links)
• A Luenberger observer for reaction-diffusion models with front position data (Q2374696) (← links)
• Incorporating topological derivatives into shape derivatives based level set methods (Q2381181) (← links)
• A new active convex hull model for image regions (Q2384092) (← links)
• A new multiphase segmentation method using eigenvectors based on \(K\) real numbers (Q2400918) (← links)
• Shape and topology optimization of a permanent-magnet machine under uncertainties (Q2404246) (← links)
• A three-stage approach for segmenting degraded color images: smoothing, lifting and thresholding (SLaT) (Q2412744) (← links)
• Segmentation of three-dimensional images with parametric active surfaces and topology changes (Q2412745) (← links)
• A multiphase logic framework for multichannel image segmentation (Q2428063) (← links)
• A local information based variational model for selective image segmentation (Q2437936) (← links)
• An unconditionally stable hybrid method for image segmentation (Q2451763) (← links)
• A discrete level set approach to image segmentation (Q2460896) (← links)
• Centroidal Voronoi tessellation algorithms for image compression, segmentation, and multichannel restoration (Q2491353) (← links)
• GACV: geodesic-aided C-V method (Q2495935) (← links)
• A variational model for object segmentation using boundary information and shape prior driven by the Mumford-Shah functional (Q2508365) (← links)
• Stochastic motion and the level set method in computer vision: stochastic active contours (Q2508370) (← links)
• Image segmentation using a local GMM in a variational framework (Q2513386) (← links)
• Moving objects localization by local regions based level set: application on urban traffic (Q2513395) (← links)
• Efficient nonsmooth nonconvex optimization for image restoration and segmentation (Q2515532) (← links)
• Level set contour extraction method based on support value filter (Q2518464) (← links)
• Threshold dynamics for the piecewise constant Mumford-Shah functional (Q2572805) (← links)
• A multiphase dynamic labeling model for variational recognition-driven image segmentation (Q2577856) (← links)
• A novel active contour model for image segmentation using distance regularization term (Q2629417) (← links)
• An efficient local Chan-Vese model for image segmentation (Q2654223) (← links)
• Effective document image binarization via a convex variational level set model (Q2668333) (← links)
• Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation (Q2674896) (← links)
• XIGA: an eXtended IsoGeometric analysis approach for multi-material problems (Q2683306) (← links)
• Efficient convex region-based segmentation for noising and inhomogeneous patterns (Q2697391) (← links)
• A level-set approach to image blending (Q2713777) (← links)
• Level Set Methods for Structural Inversion and Image Reconstruction (Q2789808) (← links)
• Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration (Q2789829) (← links)
• A restarted iterative homotopy analysis method for two nonlinear models from image processing (Q2875305) (← links)
• A 3D multi-grid algorithm for the Chan–Vese model of variational image segmentation (Q2887031) (← links)
• A \(p\)-Laplace equation model for image segmentation (Q2887691) (← links)
• Image segmentation with GVF flow and directional information (Q2902635) (← links)
• An improved hybrid gradient variation level set method for image segmentation and bias correction (Q2958264) (← links)
• Combining Topological Maps, Multi-Label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model (Q3003522) (← links)
• Estimation of a Piecewise Constant Function Using Reparameterized Level-Set Functions (Q3007022) (← links)
• Multi-phase permittivity reconstruction in electrical capacitance tomography by level-set methods (Q3062521) (← links)
• Numerical treatment of the Mumford–Shah model for the inversion and segmentation of X-ray tomography data (Q3063840) (← links)
• High speed machining tool path generation for pockets using level sets (Q3163168) (← links)
• A general framework of piecewise-polynomial Mumford–Shah model for image segmentation (Q3174877) (← links)
• A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation (Q3188195) (← links)
• Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples (Q3188215) (← links)