Handbook of Mathematical Models in Computer Vision
Handbook of Mathematical Models in Computer Vision
International Journal of Computer Vision
Anisotropic Curvature Motion for Structure Enhancing Smoothing of 3D MR Angiography Data
Journal of Mathematical Imaging and Vision
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
A vesselness-guided variational segmentation of cellular networks from 3D micro-CT
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
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Our goal in this paper is to propose a new algorithm for the detection and the completion of thin filaments in noisy and blurred 2D or 3D images. The detection method is based on the construction of a 3D vector field whose singularities (vorticity points) correspond to the filaments. The completion is then obtained by solving a Ginzburg-Landau system which is well-adapted to the study of such singularities. Numerical results for 2D images are given.