Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
International Journal of Computer Vision
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Segmentation with Depth but Without Detecting Junctions
Journal of Mathematical Imaging and Vision
Journal of Computational Physics
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
A Mumford-Shah level-set approach for the inversion and segmentation of X-ray tomography data
Journal of Computational Physics
A nonlinear variational method for signal segmentation and reconstruction using level set algorithm
Signal Processing - Special section: Distributed source coding
An improved algorithm for the piecewise-smooth Mumford and Shah model in image segmentation
EURASIP Journal on Bioinformatics and Systems Biology
Nonlinear Dynamical Shape Priors for Level Set Segmentation
Journal of Scientific Computing
A Mumford-Shah model on lattice
Image and Vision Computing
Medical Image Segmentation Based on the Bayesian Level Set Method
Medical Imaging and Informatics
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Region-based Deformable Net for automatic color image segmentation
Image and Vision Computing
Multiphase Image Segmentation and Modulation Recovery Based on Shape and Topological Sensitivity
Journal of Mathematical Imaging and Vision
Color image segmentation by the vector-valued Allen-Cahn phase-field model: a multigrid solution
IEEE Transactions on Image Processing
The piecewise smooth Mumford-Shah functional on an arbitrary graph
IEEE Transactions on Image Processing
Towards recognition-based variational segmentation using shape priors and dynamic labeling
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Segmentation of coarse and fine scale features using multi-scale diffusion and Mumford-Shah
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Region based image segmentation using a modified Mumford-Shah algorithm
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A local probabilistic prior-based active contour model for brain MR image segmentation
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Image segmentation that optimizes global homogeneity in a variational framework
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
The multiplicative path toward prior-shape guided active contour for object detection
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Automatic subcortical structure segmentation using probabilistic atlas
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
An Elasticity-Based Covariance Analysis of Shapes
International Journal of Computer Vision
Fast streaming 3D level set segmentation on the GPU for smooth multi-phase segmentation
Transactions on computational science XIII
Image segmentation that merges together boundary and region information
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Energy minimization based segmentation and denoising using a multilayer level set approach
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Lens distortion calibration using level sets
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Graphical Models
A segmentation algorithm for jacquard images based on mumford-shah model
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Automatic segmentation of unknown objects, with application to baggage security
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Multi-agent stochastic level set method in image segmentation
Computer Vision and Image Understanding
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We address the problem of restoring, while preserving possible discontinuities, fields of noisy orthonormal vector sets, taking the orthonormal constraints explicitly into account. We develop a variational solution for the general case where each image ...