Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation
International Journal of Computer Vision
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
International Journal of Computer Vision
Computer Vision and Image Understanding
Joint optical flow estimation, segmentation, and 3D interpretation with level sets
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
Fast and active texture segmentation based on orientation and local variance
Journal of Visual Communication and Image Representation
Prior Knowledge, Level Set Representations & Visual Grouping
International Journal of Computer Vision
Multi-dimensional Histogram-Based Image Segmentation
Neural Information Processing
IEICE - Transactions on Information and Systems
International Journal of Computer Vision
Active contours driven by local Gaussian distribution fitting energy
Signal Processing
Computer Vision and Image Understanding
A variational segmentation framework using active contours and thresholding
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Colour, texture, and motion in level set based segmentation and tracking
Image and Vision Computing
Multiple sclerosis lesion detection using constrained GMM and curve evolution
Journal of Biomedical Imaging
An Integral Active Contour Model for Convex Hull and Boundary Extraction
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Level-set segmentation with contour based object representation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On the statistical interpretation of the piecewise smooth Mumford-Shah functional
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
A variational framework for adaptive satellite images segmentation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Efficient segmentation of piecewise smooth images
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Embedding a region merging prior in level set vector-valued image segmentation
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A probabilistic shape filter for online contour tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Environmentally robust motion detection for video surveillance
IEEE Transactions on Image Processing
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
SIAM Journal on Imaging Sciences
Fast globally optimal segmentation of cells in fluorescence microscopy images
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A Probabilistic Contour Observer for Online Visual Tracking
SIAM Journal on Imaging Sciences
Particle filtering with dynamic shape priors
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
A riemannian approach to diffusion tensor images segmentation
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Phase contrast MRI segmentation using velocity and intensity
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Patch-Based texture edges and segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Segmentation of interest region in medical volume images using geometric deformable model
Computers in Biology and Medicine
Active contour model driven by local histogram fitting energy
Pattern Recognition Letters
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During the last few years, many efforts have been done inintegrating different informations in a variational frameworkto segment images. Recent works on curve propagationwere able to incorporate stochastic informations [9, 6]and prior knowledge on shapes [3, 7]. The informationinserted in these studies is most of the time extracted offline.Meanwhile, other approaches have proposed to extractregion information during the segmentation processitself [2, 4, 8].Following these new approaches and extending the work in[6] to vector-valued images, we propose in this paper anentirely variational framework to approach the segmentationproblem. Both, the image partition and the statisticalparameters for each region are unkown.After a brief reminder on recent segmenting methods, wewill present a variational formulation obtained from abayesian model. After that, we will show two different differentiationsdriving to the same evolution equations. De-tailedstudies on gray and color images of the 2-phase casewill follow. We will finish on an application to trackingwhich shows benefits of our dynamical framework.