Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Globally Optimal Finsler Active Contours
Proceedings of the 31st DAGM Symposium on Pattern Recognition
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
A New Tensorial Framework for Single-Shell High Angular Resolution Diffusion Imaging
Journal of Mathematical Imaging and Vision
Statistical analysis of structural brain connectivity
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
International Journal of Computer Vision
Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement
International Journal of Computer Vision
A Riemannian scalar measure for diffusion tensor images
Pattern Recognition
Journal of Mathematical Imaging and Vision
Free boundary conditions active contours with applications for vision
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
A shape prior constraint for implicit active contours
Pattern Recognition Letters
Convolutional virtual electric field external force for active contours
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Fast finsler active contours and shape prior descriptor
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Archaeological trace extraction by a local directional active contour approach
Pattern Recognition
Segmentation of prostate using interactive finsler active contours and shape prior
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Active contour model driven by local histogram fitting energy
Pattern Recognition Letters
Active Contours with Free Endpoints
Journal of Mathematical Imaging and Vision
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In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the Euclidean metric is locally multiplied by a scalar conformal factor based on image information such that the weighted length of curves lying on points of interest (typically edges) is small. The conformal factor which is chosen depends only upon position and is in this sense isotropic. While directional information has been studied previously for other segmentation frameworks, here we show that if one desires to add directionality in the conformal active contour framework, then one gets a well-defined minimization problem in the case that the factor defines a Finsler metric. Optimal curves may be obtained using the calculus of variations or dynamic programming based schemes. Finally we demonstrate the technique by extracting roads from aerial imagery, blood vessels from medical angiograms, and neural tracts from diffusion-weighted magnetic resonance imagery.