SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
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
An high order finite co-volume scheme for denoising using radial basis functions
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Cells segmentation from 3-D confocal images of early zebrafish embryogenesis
IEEE Transactions on Image Processing
Updating preconditioners for nonlinear deblurring and denoising image restoration
Applied Numerical Mathematics
SIAM Journal on Scientific Computing
Segmentation of 3D cell membrane images by PDE methods and its applications
Computers in Biology and Medicine
Segmentation of 3d tubular structures by a PDE-Based anisotropic diffusion model
MMCS'08 Proceedings of the 7th international conference on Mathematical Methods for Curves and Surfaces
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We introduce a three-dimensional (3D) semi-implicit complementary volume numerical scheme for solving the level set formulation of (Riemannian) mean curvature flow problem. We apply the scheme to segmentation of objects (with interrupted edges) in 3D images. The method is unconditionally stable and efficient regarding computational times. The study of its experimental order of convergence on 3D examples shows its second order accuracy for smooth solutions and first order accuracy for highly singular solutions with vanishing gradients as arising in image segmentation.