Computational Visualization Center University of Texas at Austin   
   
COMPUTATIONAL VISUALIZATION CENTER

  PROJECTS  
Infrastructure | Applications | Remote Visualization
ShastraVisualEyesDiDiAngstromImaging-to-ModellingX-Tierra
 Introduction | Visualization Tool | Filtering | Gradient Vector Diffusion | Segmentation | Skeletonization | References

4. 3D Gradient Vector Diffusion

We propose a new method for gradient vector diffusion, based on anisotropic PDE-based diffusion:

where g(alpha) is a decreasing function and alpha is the angle between the central vector and the surrounding vectors. For faster implementation, the calculation of the angle between two vectors is usually approximated by the inner-product of two vectors divided by their magnitudes.


Project Angstrom     CCV Projects



   Computational Visualization Center University of Texas at Austin