Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...
In magnetic resonance diffusion tensor imaging (DTI), the direction and magnitude of diffusion of water molecules is characterized by a diffusion tensor. In the central nervous sy...
Jennifer S. W. Campbell, Kaleem Siddiqi, Baba C. V...
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
The extraction of “Level 2” detail — ridge terminations, ridge bifurcations, bridges etc. — from digitised images of fingerprints requires an accurate segmentation of the...
Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusi...