Hierarchical Image Segmentation—Part I: Detection of Regular Curves in a Vector Graph
International Journal of Computer Vision
Fast, Accurate and Consistent Modeling of Drainage andSurrounding Terrain
International Journal of Computer Vision
Real-Time Interactive Path Extraction with on-the-Fly Adaptation of the External Forces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Geometric Approach to Segmentation and Analysis of 3D Medical Images
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Local or Global Minima: Flexible Dual-Front Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Level Learning Set: A Novel Classifier Based on Active Contour Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
Semiautomatic segmentation with compact shape prior
Image and Vision Computing
New Possibilities with Sobolev Active Contours
International Journal of Computer Vision
Fast and accurate geodesic distance transform by ordered propagation
Image and Vision Computing
3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
PDE based shape from specularities
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
New possibilities with Sobolev active contours
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Fully isotropic fast marching methods on Cartesian grids
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Fully isotropic fast marching methods on cartesian grids
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Active contour with neural networks-based information fusion kernel
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Learning parameter tuning for object extraction
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Local or global minima: flexible dual-front active contours
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Robust and efficient object segmentation using pseudo-elastica
Pattern Recognition Letters
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A new boundary detection approach for shape modeling is presented. It detects the global minimum of an active contour model's energy between two points. Initialization is made easier and the curve cannot be trapped at a local minimum by spurious edges. We modify the "snake" energy by including the internal regularization term in the external potential term. Our method is based on the interpretation of the snake as a path of minimal length in a Riemannian metric, or as a path of minimal cost. We then make use of a new efficient numerical method to find the shortest path which is the global minimum of the energy among all paths joining the two end points. The method is extended to closed contours, given only one point on the objects' boundary by using a topology--based saddle search routine. We show examples of our method applied to real aerial and medical images.