Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Computational geometry in C
A fast level set method for propagating interfaces
Journal of Computational Physics
Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIAM Review
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Level Set Model for Image Classification
International Journal of Computer Vision
Shape and topology constraints on parametric active contours
Computer Vision and Image Understanding
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Implicit Active Contour Models
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A topology preserving level set method for geometric deformable models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified approach to noise removal, image enhancement, and shape recovery
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Efficient energies and algorithms for parametric snakes
IEEE Transactions on Image Processing
Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces
IEEE Transactions on Image Processing
Spine Segmentation Using Articulated Shape Models
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Modeling interaction for segmentation of neighboring structures
IEEE Transactions on Information Technology in Biomedicine
Using physics engines to track objects in images
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Segmentation of complex nucleus configurations in biological images
Pattern Recognition Letters
Target positioning with dominant feature elements
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Detection of individual specimens in populations using contour energies
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
3D automated nuclear morphometric analysis using active meshes
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Automatic segmentation of bladder and prostate using coupled 3D deformable models
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Tracking articulated objects with physics engines
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Active vector graph for regularized tesselation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A novel material decomposition algorithm for multienergy x-ray radiography systems
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
An automated diagnostic system of polycystic ovary syndrome based on object growing
Artificial Intelligence in Medicine
TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy
Computer Methods and Programs in Biomedicine
3D mumford-shah based active mesh
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Cell segmentation using coupled level sets and graph-vertex coloring
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Robust tracking of migrating cells using four-color level set segmentation
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Contour energy features for recognition of biological specimens in population images
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A multiple object geometric deformable model for image segmentation
Computer Vision and Image Understanding
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We propose an extension of parametric active contours designed to track nonoccluding objects transiently touching each other, a task where both parametric and single level set-based methods usually fail. Our technique minimizes a cost functional that depends on all contours simultaneously and includes a penalty for contour overlaps. This scheme allows us to take advantage of known constraints on object topology, namely, that objects cannot merge. The coupled contours preserve the identity of previously isolated objects during and after a contact event, thus allowing segmentation and tracking to proceed as desired.