Approximating Non-linear Diffusion
We assess the feasibility of approximating non-linear diffusion processes with simple local Gaussian filters. The purpose of doing this is twofold. Firstly, the theoretical implications are by themselves interesting. Secondly, a successful method would reduce the need for computationally expensive implementations of non-linear diffusion schemes. We evaluate using isotropic and affine Gaussian filters for the task of approximating the local diffusion for a number of non-linear diffusion schemes. The approximations are firstly explored using an information theoretical approach and secondly evaluated based on their performance on a multi-scale segmentation application.
The results show that while the approximations do not perform quite as well as the original non-linear scheme, the decrease in performance is acceptable for the evaluated task. Furthermore, the affine approximations perform significantly better than the isotropic.
|Titel||Scale Space Methods in Computer Vision : 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings|
|Forlag||<Forlag uden navn>|
|Status||Udgivet - 2003|
|Begivenhed||Proceedings of the 4th International Conference in Scale Space - Isle of Skye, Storbritannien|
Varighed: 29 nov. 2010 → …
Konferencens nummer: 4
|Konference||Proceedings of the 4th International Conference in Scale Space|
|By||Isle of Skye|
|Periode||29/11/2010 → …|
|Navn||Lecture notes in computer science|