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| 3D | mumford | -Shah Based Active Mesh |
| Active Contour Approach for a | mumford | -Shah Model in X-Ray Tomography, An |
| Adaptive Vision System for Segmentation of Echographic Medical Images Based on a Modified | mumford | -Shah Functional |
| algorithm for minimizing the | mumford | -Shah functional, An |
| Algorithm for Second Order | mumford | -Shah Models Based on a Taylor Jet Formulation, An |
| Application of Monte Carlo simulation with block-spin transformation based on the | mumford | -Shah segmentation model to three-dimensional biomedical images |
| Bayesian Estimation Based | mumford | -Shah Regularization for Blur Identification and Segmentation in Video Sequences |
| Beltrami- | mumford | -Shah Functional, The |
| Binary Level Set Model and Some Applications to | mumford | -Shah Image Segmentation, A |
| Bottom-Up Hierarchical Image Segmentation Using Region Competition and the | mumford | -Shah Functional |
| Color Image Restoration Using Nonlocal | mumford | -Shah Regularizers |
| Combinatorial Optimization of the Discretized Multiphase | mumford | -Shah Functional |
| Combinatorial Optimization of the piecewise constant | mumford | -Shah functional with application to scalar/vector valued and volumetric image segmentation |
| Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant | mumford | -Shah segmentation model |
| Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the | mumford | -Shah model |
| Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the | mumford | -Shah Functional, A |
| convex representation for the vectorial | mumford | -Shah functional, A |
| Curve Evolution Approach to Smoothing and Segmentation Using the | mumford | -Shah Functional, A |
| Curve evolution implementation of the | mumford | -Shah functional for image segmentation, denoising, interpolation, and magnification |
| Curve Evolution, Boundary-value Stochastic Processes, the | mumford | -Shah Problem, and Missing Data Applications |
| Diffusion Snakes: Introducing Statistical Shape Knowledge into the | mumford | -Shah Functional |
| Digital inpainting based on the | mumford | -Shah-Euler image model |
| Discrete | mumford | -Shah on Graph for Mixing Matrix Estimation |
| Discrete Optimization of the Multiphase Piecewise Constant | mumford | -Shah Functional |
| Discretized Convex Relaxations for the Piecewise Smooth | mumford | -Shah Model |
| Edge Detection Filter based on | mumford | -Shah Green Function |
| Efficient Algorithm for the Piecewise Affine-Linear | mumford | -Shah Model Based on a Taylor Jet Splitting, An |
| Extended | mumford | -Shah Regularization in Bayesian Estimation for Blind Image Deconvolution and Segmentation |
| Fast Anisotropic | mumford | -Shah Functional Based Segmentation, A |
| Generalized Level Set Formulation of the | mumford | -Shah Functional with Shape Prior for Medical Image Segmentation, A |
| Generalized | mumford | -Shah Model for Roof-Edge Detection, A |
| Generalizing | mumford | -Shah Model for Multiphase Piecewise Smooth Image Segmentation |
| Hierarchical image simplification and segmentation based on | mumford | -Shah-salient level line selection |
| Identification of Cell Nucleus Using a | mumford | -Shah Ellipse Detector |
| Image Segmentation and Selective Smoothing by Using | mumford | -Shah Model |
| Image Segmentation Using Bayesian Inference for Convex Variant | mumford | -Shah Variational Model |
| Image segmentation using clique based shape prior and the | mumford | Shah Functional |
| Image Segmentation with a Statistical Appearance Model and a Generic | mumford | -Shah Inspired Outside Model |
| Improved Data Structures for Fast Region Merging Segmentation Using a | mumford | -Shah Energy Functional |
| Incorporating Patch Subspace Model in | mumford | -Shah Type Active Contours |
| Inexact Newton-CG-Type Active Contour Approach for the Minimization of the | mumford | -Shah Functional, An |
| Integrating clustering with level set method for piecewise constant | mumford | -Shah model |
| Level Set Algorithm for minimizing the | mumford | -Shah functional in Image Processing, A |
| L_0 Regularized | mumford | -Shah Model for Bias Correction and Segmentation of Medical Images, The |
| Mathematical Analysis of An Extended | mumford | -Shah Model for Image Segmentation |
| Multi-class Graph | mumford | -Shah Model for Plume Detection Using the MBO scheme |
| Multi-class Transductive Learning Based on L_1 Relaxations of Cheeger Cut and | mumford | -Shah-Potts Model |
| Multiphase Level Set Framework for Image Segmentation Using the | mumford | and Shah Model, A |
| Multiphase | mumford | -Shah Problem, The |
| Multiresolution Stochastic Level Set Method for | mumford | -Shah Image Segmentation, A |
| Multistage Image Segmentation and Denoising Method: Based on the | mumford | and Shah Variational Approach, A |
| mumford | and Shah Functional: VLSI Analysis and Implementation |
| mumford | -Shah and Potts Regularization for Manifold-Valued Data |
| mumford | -Shah digital filter pair (MS-DFP) and applications, The |
| mumford | -Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation, A |
| mumford | -Shah Loss Functional for Image Segmentation With Deep Learning |
| mumford | -Shah Meets Stereo: Integration of Weak Depth Hypotheses |
| mumford | -Shah Model Based Man-Made Objects Detection from Aerial Images |
| mumford | -Shah Model for One-to-One Edge Matching |
| mumford | -Shah model on lattice, A |
| mumford | -Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images |
| mumford | -Shah Regularizer with Contextual Feedback |
| mumford | -Shah Regularizer with Spatial Coherence |
| mumford | -Shah Style Unified Framework for Layering: Pitfalls and Solutions, A |
| mumford | -Shah variational model for image segmentation: An overview of the theory, implementation and use, The |
| mumford | -Shah-ATV functional for limited angle tomography |
| mumford | -Shah-Euler Flow with Sphere Constraint and Applications to Color Image Inpainting |
| mumford | -Shah-Like Method for Limited Data Tomography with an Application to Electron Tomography, A |
| New Model and Simple Algorithms for Multi-label | mumford | -Shah Problems, A |
| new | mumford | -Shah type model involving a smoothing operator for multiphase image segmentation, A |
| new variational model for joint restoration and segmentation based on the | mumford | -Shah model, A |
| Nonlinear Shape Statistics in | mumford | -Shah Based Segmentation |
| Nonlocal | mumford | -Shah Regularizers for Color Image Restoration |
| Note on the Discrete Binary | mumford | -Shah Model, A |
| On Local Region Models and a Statistical Interpretation of the Piecewise Smooth | mumford | -Shah Functional |
| On the Complexity of | mumford | -Shah-Type Regularization, Viewed as a Relaxed Sparsity Constraint |
| On the Statistical Interpretation of the Piecewise Smooth | mumford | -Shah Functional |
| PALMS Image Partitioning: A New Parallel Algorithm for the Piecewise Affine-Linear | mumford | -Shah Model |
| Piecewise Smooth | mumford | -Shah Functional on an Arbitrary Graph, The |
| Proximal Based Strategies for Solving Discrete | mumford | -Shah With Ambrosio-Tortorelli Penalization on Edges |
| Real-Time Minimization of the Piecewise Smooth | mumford | -Shah Functional |
| Reformulating and Optimizing the | mumford | -Shah Functional on a Graph: A Faster, Lower Energy Solution |
| Region Based Image Segmentation Using a Modified | mumford | -Shah Algorithm |
| Regularization Properties of | mumford | -Shah-Type Functionals with Perimeter and Norm Constraints for Linear Ill-Posed Problems |
| Retinal Image Segmentation Based on | mumford | -Shah Model and Gabor Wavelet Filter |
| Robust Edge Detection Using | mumford | -Shah Model and Binary Level Set Method |
| Salient level lines selection using the | mumford | -Shah functional |
| Second order | mumford | -Shah model for image denoising |
| Segmentation and Denoising via an Adaptive Threshold | mumford | -Shah-Like Functional |
| Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and | mumford | -Shah |
| Semi-Blind Image Restoration Via | mumford | -Shah Regularization |
| Semi-Linearized Proximal Alternating Minimization for a Discrete | mumford | -Shah Model |
| Simultaneous bias correction and image segmentation via L0 regularized | mumford | -Shah model |
| Stereo Matching with | mumford | -Shah Regularization and Occlusion Handling |
| Text Line Segmentation in Handwritten Documents Using | mumford | -Shah Model |
| TVp Regularized | mumford | -Shah Model for Image Labeling and Segmentation, The |
| Two-Stage Image Segmentation Method Using a Convex Variant of the | mumford | -Shah Model and Thresholding, A |
| Two-Stage Image Segmentation Method Using Euler's Elastica Regularized | mumford | -Shah Model, A |
| Ultimate Leveling Based on | mumford | -Shah Energy Functional Applied to Plant Detection |
| Unsupervised | mumford | -Shah energy based hybrid of texture and nontexture image segmentation |
| Variational approximation of a constraint signal by a | mumford | -Shah type energy functional |
| Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the | mumford | -Shah Functional, A |
| Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed | mumford | -Shah Color and Multiphase Image Segmentation, A |
| weighted difference of anisotropic and isotropic total variation for relaxed | mumford | -Shah image segmentation, A |
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