Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A variational level set approach to multiphase motion
Journal of Computational Physics
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
International Journal of Computer Vision
Geodesic Active Regions for Supervised Texture Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Image Parsing: Unifying Segmentation, Detection, and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Geometric Partial Differential Equations and Image Analysis
Geometric Partial Differential Equations and Image Analysis
Anisotropic diffusion of multivalued images with applications to color filtering
IEEE Transactions on Image Processing
A morphological, affine, and Galilean invariant scale-space for movies
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Pattern Recognition Letters
Composed Segmentation of Tubular Structures by an Anisotropic PDE Model
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
A data-driven approach to prior extraction for segmentation of left ventricle in cardiac MR images
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Unsupervised multiphase segmentation: a phase balancing model
IEEE Transactions on Image Processing
Unsupervised multiphase segmentation: a phase balancing model
IEEE Transactions on Image Processing
Combined geometric-texture image classification
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Framelet-Based algorithm for segmentation of tubular structures
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
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We propose a mathematical framework for object detection using logic operations as a structure for defining multi-channel segmentation. The model combines object information from the different channels into any logic combination. We consider active contour methods which use one initial contour that would evolve from the information given in each channel simultaneously. Specific models are derived based on the single-channel region based ''active contours without edges'' [IEEE Trans. Image Process. 10 (2) (2001) 266] model. Numerical experiments show that the method is able to find general intersections, unions, and complements of the regions of objects of both synthetic and realistic images.