Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Evolutionary fronts for topology-independent shape modeling and recovery
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
A variational level set approach to multiphase motion
Journal of Computational Physics
International Journal of Computer Vision
A Variational Method in Image Recovery
SIAM Journal on Numerical Analysis
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
Geometry Motivated Variational Segmentation for Color Images
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Bayesian Object Detection through Level Curves Selection
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Active Contours without Edges and with Simple Shape Priors
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Level Set Segmentation of Knee Bones Using Normal Profile Models
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Tracking Closed Curves with Non-linear Stochastic Filters
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Multiple sclerosis lesion detection using constrained GMM and curve evolution
Journal of Biomedical Imaging
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Fully isotropic fast marching methods on Cartesian grids
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Fully isotropic fast marching methods on cartesian grids
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Comparative analysis of lip features for person identification
Proceedings of the 8th International Conference on Frontiers of Information Technology
Higher-Order Feature-Preserving Geometric Regularization
SIAM Journal on Imaging Sciences
Robust active contour segmentation with an efficient global optimizer
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Leaf segmentation and tracking using probabilistic parametric active contours
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
Level Set Based Multispectral Segmentation with Corners
SIAM Journal on Imaging Sciences
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Simultaneous registration and segmentation of anatomical structures from brain MRI
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Three-dimensional shape knowledge for joint image segmentation and pose estimation
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
A system for marker-less human motion estimation
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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
Tracking level set representation driven by a stochastic dynamics
Proceedings of the 7th international conference on Curves and Surfaces
3-D Surface Rendering of Myocardial SPECT Images Segmented by Level Set Technique
Journal of Medical Systems
A new level-set based algorithm for bimodal depth segmentation
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
TRUS image segmentation driven by narrow band contrast pattern using shape space embedded level sets
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Two-phase image segmentation with the competitive learning based chan-vese (CLCV) model
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by gradient. The model is a combination between more classical active contour models using mean curvature motion techniques, and the Mumford-Shah model for segmentation. We minimize an energy which can be seen as a particular case of the so-called minimal partition problem. In the level set formulation, the problem becomes a "mean-curvature flow"-like evolving the active contour, which will stop on the desired boundary. However, the stopping term does not depend on the gradient of the image, as in the classical active contour models, but is instead related to a particular segmentation of the image. Finally, we will present various experimental results and in particular some examples for which the classical snakes methods based on the gradient are not applicable.