|Introduction||Visualization Tool||Anisotropic Filtering||3D Gradient Vector Diffusion||3D Segmentation||3D Skeletonization||References|
3. Anisotropic Filtering
Our approach to three dimensional nonlinear noise reduction filters, such as bilateral pre-filtering coupled with an evolution driven anisotropic geometric diffusion partial differential equation (PDE), have shown significant results in enhancing the visualization of macromolecular tomographic imaging. The PDE model is:
The efficacy of our method is based on a careful selection of the anisotropic diffusion tensor based on estimates of the normal and two principal curvatures and curvature directions of a feature isosurface in three dimensions.
A sub-volume of dataset comprising extracellular links between a stereocilium and the kinociliar bulb in a bullfrog macular sensory epithelia hair bundle.