On active contour models and balloons
CVGIP: Image Understanding
Region-based strategies for active contour models
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameterized feasible boundaries in gradient vector fields
Computer Vision and Image Understanding
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Computer Vision
Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
On multi-feature integration for deformable boundary finding
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Topologically adaptable deformable models for medical image analysis
Topologically adaptable deformable models for medical image analysis
Dual-t-snakes model for medical imaging segmentation
Pattern Recognition Letters - Special issue: Sibgrapi 2001
Hybrid Segmentation of Anatomical Data
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic Deformable Shape Segmentation for Image Database Search Applications
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Model-Based Image Segmentation Using Local Self-Adapting Separation Criteria
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
International Journal of Computer Vision
Incorporating 3D virtual anatomy into the medical curriculum
Communications of the ACM - Medical image modeling
Multi-scale visual analysis of trauma injury
Information Visualization - Special issue on visual analysis of human dynamics
A Novel Algorithm for Automatic Brain Structure Segmentation from MRI
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
A graphical model framework for coupling MRFs and deformable models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Journal of Visual Communication and Image Representation
Semi-automatic 3D segmentation of brain structures from MRI
International Journal of Data Mining and Bioinformatics
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This paper describes a general-purpose method we have developed for automatically segmenting objects of an unknown number and unknown locations in images. Our method integrates deformable models and statistics of image cues including intensity, gradient, color, and texture. By using a combination of image features rather than a single feature such as gradient, our method is more robust to noise and sparse data. To allow for the automated segmentation of an unknown number and locations of objects, we simultaneously segment objects initialized at uniformly distributed points in the image. A method is developed to automatically merge models corresponding to the same object. Results of the method are presentedfor several examples, including greyscale, color and noisy images.