Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Toward a computational theory of shape: an overview
ECCV 90 Proceedings of the first european conference on Computer vision
Evolutionary fronts for topology-independent shape modeling and recovery
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Volumetric segmentation of medical images by three-dimensional bubbles
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Model-Based Multiscale Detection of 3D Vessels
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Fiber Tract Mapping from Diffusion Tensor MRI
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
A Variational Approach for the Segmentation of the Left Ventricle in MR Cardiac Images
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Regularization of Orthonormal Vector Sets using Coupled PDE's
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Topologically adaptable snakes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Geodesic Active Regions for Supervised Texture Segmentation
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Area and length minimizing flows for shape segmentation
IEEE Transactions on Image Processing
International Journal of Computer Vision
Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
Boundary vector field for parametric active contours
Pattern Recognition
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anisotropic Haralick Edge Detection Scheme with Application to Vessel Segmentation
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
R-PLUS: A Riemannian Anisotropic Edge Detection Scheme for Vascular Segmentation
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Globally Optimal Finsler Active Contours
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A skeleton family generator via physics-based deformable models
IEEE Transactions on Image Processing
Efficient implementation for spherical flux computation and its application to vascular segmentation
IEEE Transactions on Image Processing
A Deformable Surface Model for Vascular Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Geometric attraction-driven flow for image segmentation and boundary detection
Journal of Visual Communication and Image Representation
Design and study of flux-based features for 3D vascular tracking
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Cell tracking and segmentation in electron microscopy images using graph cuts
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Automatic clinical image segmentation using pathological modeling, PCA and SVM
Engineering Applications of Artificial Intelligence
Active contours driven by local image fitting energy
Pattern Recognition
Active contours with selective local or global segmentation: A new formulation and level set method
Image and Vision Computing
International Journal of Computer Vision
Force field analysis snake: an improved parametric active contour model
Pattern Recognition Letters
Blood vessel segmentation using multi-scale quadrature filtering
Pattern Recognition Letters
Towards patient-specific anatomical model generation for finite element-based surgical simulation
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Automated removal of partial occlusion blur
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Finsler tractography for white matter connectivity analysis of the cingulum bundle
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Vessel and intracranial aneurysm segmentation using multi-range filters and local variances
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Segmentation of pulmonary vascular trees from thoracic 3D CT images
Journal of Biomedical Imaging
Segmentation of crystalline lens in photorefraction video
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
An oriented flux symmetry based active contour model for three dimensional vessel segmentation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Split Bregman method for minimization of region-scalable fitting energy for image segmentation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts
Computer Vision and Image Understanding
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Pattern Recognition Letters
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Minimal weighted local variance as edge detector for active contour models
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Automatic clinical image segmentation using pathological modelling, PCA and SVM
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Skeleton pruning by contour partitioning
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
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
A geometric formulation of gradient descent for variational problems with moving surfaces
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Harris function based active contour external force for image segmentation
Pattern Recognition Letters
Journal of Medical Systems
Anisotropic ssTEM image segmentation using dense correspondence across sections
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Level set evolution with locally linear classification for image segmentation
Pattern Recognition
Empirical mode decomposition on skeletonization pruning
Image and Vision Computing
Mean shift based gradient vector flow for image segmentation
Computer Vision and Image Understanding
Information Sciences: an International Journal
Random walks in directed hypergraphs and application to semi-supervised image segmentation
Computer Vision and Image Understanding
Hi-index | 0.14 |
Several geometric active contour models have been proposed for segmentation in computer vision and image analysis. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constraints from image forces so that it clings to features of interest in an intensity image. Recent variations on this theme take into account properties of enclosed regions and allow for multiple curves or surfaces to be simultaneously represented. However, it is still unclear how to apply these techniques to images of narrow elongated structures, such as blood vessels, where intensity contrast may be low and reliable region statistics cannot be computed. To address this problem, we derive the gradient flows which maximize the rate of increase of flux of an appropriate vector field through a curve (in 2D) or a surface (in 3D). The key idea is to exploit the direction of the vector field along with its magnitude. The calculations lead to a simple and elegant interpretation which is essentially parameter free and has the same form in both dimensions. We illustrate its advantages with several level-set-based segmentations of 2D and 3D angiography images of blood vessels.