Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
On active contour models and balloons
CVGIP: Image Understanding
Active vision
Region-based strategies for active contour models
International Journal of Computer Vision
A technical introduction to digital video
A technical introduction to digital video
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Human motion analysis: a review
Computer Vision and Image Understanding
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Region Tracking via Level Set PDEs without Motion Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
FRAME: Filters, Random fields, and Minimax Entropy-- Towards a Unified Theory for Texture Modeling
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Variational Framework for Active and Adaptative Segmentation of Vector Valued Images
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
JOINT SPACE-TIME MOTION-BASED SEGMENTATION OF IMAGE SEQUENCES WITH LEVEL SET PDES
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Detection and Tracking of Moving Objects using a New Level Set Based Method
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Spatio-Temporal Motion Segmentation via Level Set Partial Differential Equation
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
Variational Space-Time Motion Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations (Applied Mathematical Sciences)
IEEE Transactions on Image Processing
A Continuous Labeling for Multiphase Graph Cut Image Partitioning
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A Variational Level Set Method for Multiple Object Detection
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Implicit Active-Contouring with MRF
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
SAR Image Segmentation Using Level Sets and Region Competition under the $\mathcal{G}^H$ Model
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Exploit camera metadata for enhancing interesting region detection and photo retrieval
Multimedia Tools and Applications
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
Effective level set image segmentation with a kernel induced data term
IEEE Transactions on Image Processing
Computer Vision and Image Understanding
Automatic multi-organ segmentation using learning-based segmentation and level set optimization
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Mathematical and Computer Modelling: An International Journal
A multiple object geometric deformable model for image segmentation
Computer Vision and Image Understanding
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The purpose of this study is to investigate a new representation of a partition of an image domain into a fixed but arbitrary number of regions by explicit correspondence between the regions of segmentation and the regions defined by simple closed planar curves and their intersections, and the use of this representation in the context of region competition to provide a level set multiregion competition algorithm. This formulation leads to a system of coupled curve evolution equations which is easily amenable to a level set implementation and the computed solution is one that minimizes the stated functional. An unambiguous segmentation is garanteed because at all time during curve evolution the evolving regions form a partition of the image domain. We present the multiregion competition algorithm for intensity-based image segmentation and we subsequently extend it to motion/disparity. Finally, we consider an extension of the algorithm to account for images with aberrations such as occlusions. The formulation, the ensuing algorithm, and its implementation have been validated in several experiments on gray level, color, and motion segmentation.